Merge pull request #292 from FlowiseAI/feature/TopK

Feature/Add top K to vector stores

packages/components/nodes/agents/BabyAGI/BabyAGI.ts

@@ -45,8 +45,9 @@ class BabyAGI_Agents implements INode {
         const model = nodeData.inputs?.model as BaseChatModel
         const vectorStore = nodeData.inputs?.vectorStore as VectorStore
         const taskLoop = nodeData.inputs?.taskLoop as string
+        const k = (vectorStore as any)?.k ?? 4
 
-        const babyAgi = BabyAGI.fromLLM(model, vectorStore, parseInt(taskLoop, 10))
+        const babyAgi = BabyAGI.fromLLM(model, vectorStore, parseInt(taskLoop, 10), k)
         return babyAgi
     }
 

packages/components/nodes/agents/BabyAGI/core.ts

@@ -154,18 +154,22 @@ export class BabyAGI {
 
     maxIterations = 3
 
+    topK = 4
+
     constructor(
         taskCreationChain: TaskCreationChain,
         taskPrioritizationChain: TaskPrioritizationChain,
         executionChain: ExecutionChain,
         vectorStore: VectorStore,
-        maxIterations: number
+        maxIterations: number,
+        topK: number
     ) {
         this.taskCreationChain = taskCreationChain
         this.taskPrioritizationChain = taskPrioritizationChain
         this.executionChain = executionChain
         this.vectorStore = vectorStore
         this.maxIterations = maxIterations
+        this.topK = topK
     }
 
     addTask(task: Task) {
@@ -219,7 +223,7 @@ export class BabyAGI {
                 this.printNextTask(task)
 
                 // Step 2: Execute the task
-                const result = await executeTask(this.vectorStore, this.executionChain, objective, task.task_name)
+                const result = await executeTask(this.vectorStore, this.executionChain, objective, task.task_name, this.topK)
                 const thisTaskId = task.task_id
                 finalResult = result
                 this.printTaskResult(result)
@@ -257,10 +261,10 @@ export class BabyAGI {
         return finalResult
     }
 
-    static fromLLM(llm: BaseChatModel, vectorstore: VectorStore, maxIterations = 3): BabyAGI {
+    static fromLLM(llm: BaseChatModel, vectorstore: VectorStore, maxIterations = 3, topK = 4): BabyAGI {
         const taskCreationChain = TaskCreationChain.from_llm(llm)
         const taskPrioritizationChain = TaskPrioritizationChain.from_llm(llm)
         const executionChain = ExecutionChain.from_llm(llm)
-        return new BabyAGI(taskCreationChain, taskPrioritizationChain, executionChain, vectorstore, maxIterations)
+        return new BabyAGI(taskCreationChain, taskPrioritizationChain, executionChain, vectorstore, maxIterations, topK)
     }
 }

packages/components/nodes/chains/MultiRetrievalQAChain/MultiRetrievalQAChain.ts

@@ -46,7 +46,7 @@ class MultiRetrievalQAChain_Chains implements INode {
         for (const vs of vectorStoreRetriever) {
             retrieverNames.push(vs.name)
             retrieverDescriptions.push(vs.description)
-            retrievers.push(vs.vectorStore.asRetriever())
+            retrievers.push(vs.vectorStore.asRetriever((vs.vectorStore as any).k ?? 4))
         }
 
         const chain = MultiRetrievalQAChain.fromRetrievers(model, retrieverNames, retrieverDescriptions, retrievers, undefined, {

packages/components/nodes/chains/VectorDBQAChain/VectorDBQAChain.ts

@@ -40,7 +40,10 @@ class VectorDBQAChain_Chains implements INode {
         const model = nodeData.inputs?.model as BaseLanguageModel
         const vectorStore = nodeData.inputs?.vectorStore as VectorStore
 
-        const chain = VectorDBQAChain.fromLLM(model, vectorStore, { verbose: process.env.DEBUG === 'true' ? true : false })
+        const chain = VectorDBQAChain.fromLLM(model, vectorStore, {
+            k: (vectorStore as any)?.k ?? 4,
+            verbose: process.env.DEBUG === 'true' ? true : false
+        })
         return chain
     }
 

packages/components/nodes/vectorstores/Chroma_Existing/Chroma_Existing.ts

@@ -38,6 +38,15 @@ class Chroma_Existing_VectorStores implements INode {
                 name: 'chromaURL',
                 type: 'string',
                 optional: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -59,6 +68,8 @@ class Chroma_Existing_VectorStores implements INode {
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const chromaURL = nodeData.inputs?.chromaURL as string
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const obj: {
             collectionName: string
@@ -69,9 +80,10 @@ class Chroma_Existing_VectorStores implements INode {
         const vectorStore = await Chroma.fromExistingCollection(embeddings, obj)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Chroma_Upsert/Chroma_Upsert.ts

@@ -46,6 +46,15 @@ class ChromaUpsert_VectorStores implements INode {
                 name: 'chromaURL',
                 type: 'string',
                 optional: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -68,6 +77,8 @@ class ChromaUpsert_VectorStores implements INode {
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const chromaURL = nodeData.inputs?.chromaURL as string
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const flattenDocs = docs && docs.length ? flatten(docs) : []
         const finalDocs = []
@@ -84,9 +95,10 @@ class ChromaUpsert_VectorStores implements INode {
         const vectorStore = await Chroma.fromDocuments(finalDocs, embeddings, obj)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Faiss_Existing/Faiss_Existing.ts

@@ -34,6 +34,15 @@ class Faiss_Existing_VectorStores implements INode {
                 description: 'Path to load faiss.index file',
                 placeholder: `C:\\Users\\User\\Desktop`,
                 type: 'string'
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -54,13 +63,16 @@ class Faiss_Existing_VectorStores implements INode {
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const basePath = nodeData.inputs?.basePath as string
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const vectorStore = await FaissStore.load(basePath, embeddings)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Faiss_Upsert/Faiss_Upsert.ts

@@ -42,6 +42,15 @@ class FaissUpsert_VectorStores implements INode {
                 description: 'Path to store faiss.index file',
                 placeholder: `C:\\Users\\User\\Desktop`,
                 type: 'string'
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -63,6 +72,8 @@ class FaissUpsert_VectorStores implements INode {
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const output = nodeData.outputs?.output as string
         const basePath = nodeData.inputs?.basePath as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const flattenDocs = docs && docs.length ? flatten(docs) : []
         const finalDocs = []
@@ -74,9 +85,10 @@ class FaissUpsert_VectorStores implements INode {
         await vectorStore.save(basePath)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/InMemory/InMemoryVectorStore.ts

@@ -35,6 +35,14 @@ class InMemoryVectorStore_VectorStores implements INode {
                 label: 'Embeddings',
                 name: 'embeddings',
                 type: 'Embeddings'
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                optional: true
             }
         ]
         this.outputs = [
@@ -55,6 +63,8 @@ class InMemoryVectorStore_VectorStores implements INode {
         const docs = nodeData.inputs?.document as Document[]
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const flattenDocs = docs && docs.length ? flatten(docs) : []
         const finalDocs = []
@@ -65,9 +75,10 @@ class InMemoryVectorStore_VectorStores implements INode {
         const vectorStore = await MemoryVectorStore.fromDocuments(finalDocs, embeddings)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Pinecone_Existing/Pinecone_Existing.ts

@@ -49,6 +49,7 @@ class Pinecone_Existing_VectorStores implements INode {
                 name: 'pineconeNamespace',
                 type: 'string',
                 placeholder: 'my-first-namespace',
+                additionalParams: true,
                 optional: true
             },
             {
@@ -57,6 +58,15 @@ class Pinecone_Existing_VectorStores implements INode {
                 type: 'json',
                 optional: true,
                 additionalParams: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -79,9 +89,10 @@ class Pinecone_Existing_VectorStores implements INode {
         const index = nodeData.inputs?.pineconeIndex as string
         const pineconeNamespace = nodeData.inputs?.pineconeNamespace as string
         const pineconeMetadataFilter = nodeData.inputs?.pineconeMetadataFilter
-
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const client = new PineconeClient()
         await client.init({
@@ -104,9 +115,10 @@ class Pinecone_Existing_VectorStores implements INode {
         const vectorStore = await PineconeStore.fromExistingIndex(embeddings, obj)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Pinecone_Upsert/Pinecone_Upsert.ts

@@ -57,6 +57,16 @@ class PineconeUpsert_VectorStores implements INode {
                 name: 'pineconeNamespace',
                 type: 'string',
                 placeholder: 'my-first-namespace',
+                additionalParams: true,
+                optional: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
                 optional: true
             }
         ]
@@ -82,6 +92,8 @@ class PineconeUpsert_VectorStores implements INode {
         const docs = nodeData.inputs?.document as Document[]
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const client = new PineconeClient()
         await client.init({
@@ -106,9 +118,10 @@ class PineconeUpsert_VectorStores implements INode {
         const vectorStore = await PineconeStore.fromDocuments(finalDocs, embeddings, obj)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Supabase_Existing/Supabase_Exisiting.ts

@@ -55,6 +55,15 @@ class Supabase_Existing_VectorStores implements INode {
                 type: 'json',
                 optional: true,
                 additionalParams: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -79,6 +88,8 @@ class Supabase_Existing_VectorStores implements INode {
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const supabaseMetadataFilter = nodeData.inputs?.supabaseMetadataFilter
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const client = createClient(supabaseProjUrl, supabaseApiKey)
 
@@ -96,9 +107,10 @@ class Supabase_Existing_VectorStores implements INode {
         const vectorStore = await SupabaseVectorStore.fromExistingIndex(embeddings, obj)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Supabase_Upsert/Supabase_Upsert.ts

@@ -56,6 +56,15 @@ class SupabaseUpsert_VectorStores implements INode {
                 label: 'Query Name',
                 name: 'queryName',
                 type: 'string'
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -80,6 +89,8 @@ class SupabaseUpsert_VectorStores implements INode {
         const docs = nodeData.inputs?.document as Document[]
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const client = createClient(supabaseProjUrl, supabaseApiKey)
 
@@ -96,9 +107,10 @@ class SupabaseUpsert_VectorStores implements INode {
         })
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Weaviate_Existing/Weaviate_Existing.ts

@@ -79,6 +79,15 @@ class Weaviate_Existing_VectorStores implements INode {
                 placeholder: `["foo"]`,
                 optional: true,
                 additionalParams: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -102,9 +111,10 @@ class Weaviate_Existing_VectorStores implements INode {
         const weaviateApiKey = nodeData.inputs?.weaviateApiKey as string
         const weaviateTextKey = nodeData.inputs?.weaviateTextKey as string
         const weaviateMetadataKeys = nodeData.inputs?.weaviateMetadataKeys as string
-
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const clientConfig: any = {
             scheme: weaviateScheme,
@@ -125,9 +135,10 @@ class Weaviate_Existing_VectorStores implements INode {
         const vectorStore = await WeaviateStore.fromExistingIndex(embeddings, obj)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/components/nodes/vectorstores/Weaviate_Upsert/Weaviate_Upsert.ts

@@ -87,6 +87,15 @@ class WeaviateUpsert_VectorStores implements INode {
                 placeholder: `["foo"]`,
                 optional: true,
                 additionalParams: true
+            },
+            {
+                label: 'Top K',
+                name: 'topK',
+                description: 'Number of top results to fetch. Default to 4',
+                placeholder: '4',
+                type: 'number',
+                additionalParams: true,
+                optional: true
             }
         ]
         this.outputs = [
@@ -110,10 +119,11 @@ class WeaviateUpsert_VectorStores implements INode {
         const weaviateApiKey = nodeData.inputs?.weaviateApiKey as string
         const weaviateTextKey = nodeData.inputs?.weaviateTextKey as string
         const weaviateMetadataKeys = nodeData.inputs?.weaviateMetadataKeys as string
-
         const docs = nodeData.inputs?.document as Document[]
         const embeddings = nodeData.inputs?.embeddings as Embeddings
         const output = nodeData.outputs?.output as string
+        const topK = nodeData.inputs?.topK as string
+        const k = topK ? parseInt(topK, 10) : 4
 
         const clientConfig: any = {
             scheme: weaviateScheme,
@@ -140,9 +150,10 @@ class WeaviateUpsert_VectorStores implements INode {
         const vectorStore = await WeaviateStore.fromDocuments(finalDocs, embeddings, obj)
 
         if (output === 'retriever') {
-            const retriever = vectorStore.asRetriever()
+            const retriever = vectorStore.asRetriever(k)
             return retriever
         } else if (output === 'vectorStore') {
+            ;(vectorStore as any).k = k
             return vectorStore
         }
         return vectorStore

packages/server/marketplaces/API Agent.json

@@ -346,6 +346,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -533,6 +541,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -664,6 +680,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_2-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_2-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Antonym.json

@@ -276,6 +276,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/AutoGPT.json

@@ -192,6 +192,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -412,6 +420,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -480,6 +496,7 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeExistingIndex_1-input-pineconeNamespace-string"
                     },
                     {
@@ -489,6 +506,16 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "pineconeExistingIndex_1-input-pineconeMetadataFilter-json"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeExistingIndex_1-input-topK-number"
                     }
                 ],
                 "inputAnchors": [

packages/server/marketplaces/BabyAGI.json

@@ -48,6 +48,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -116,6 +124,7 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeExistingIndex_1-input-pineconeNamespace-string"
                     },
                     {
@@ -125,6 +134,16 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "pineconeExistingIndex_1-input-pineconeMetadataFilter-json"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeExistingIndex_1-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -276,6 +295,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/ChatGPTPlugin.json

@@ -355,6 +355,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Conversational Agent.json

@@ -102,6 +102,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Conversational Retrieval QA Chain.json

@@ -169,6 +169,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -237,7 +245,18 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeUpsert_1-input-pineconeNamespace-string"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeUpsert_1-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -397,6 +416,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -445,6 +472,13 @@
                 "category": "Chains",
                 "description": "Document QA - built on RetrievalQAChain to provide a chat history component",
                 "inputParams": [
+                    {
+                        "label": "Return Source Documents",
+                        "name": "returnSourceDocuments",
+                        "type": "boolean",
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
+                    },
                     {
                         "label": "System Message",
                         "name": "systemMessagePrompt",
@@ -454,6 +488,31 @@
                         "optional": true,
                         "placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
                         "id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
+                    },
+                    {
+                        "label": "Chain Option",
+                        "name": "chainOption",
+                        "type": "options",
+                        "options": [
+                            {
+                                "label": "MapReduceDocumentsChain",
+                                "name": "map_reduce",
+                                "description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
+                            },
+                            {
+                                "label": "RefineDocumentsChain",
+                                "name": "refine",
+                                "description": "Suitable for QA tasks over a large number of documents."
+                            },
+                            {
+                                "label": "StuffDocumentsChain",
+                                "name": "stuff",
+                                "description": "Suitable for QA tasks over a small number of documents."
+                            }
+                        ],
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-chainOption-options"
                     }
                 ],
                 "inputAnchors": [

packages/server/marketplaces/Github Repo QnA.json

@@ -186,6 +186,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -254,7 +262,18 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeUpsert_1-input-pineconeNamespace-string"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeUpsert_1-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -414,6 +433,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -462,6 +489,13 @@
                 "category": "Chains",
                 "description": "Document QA - built on RetrievalQAChain to provide a chat history component",
                 "inputParams": [
+                    {
+                        "label": "Return Source Documents",
+                        "name": "returnSourceDocuments",
+                        "type": "boolean",
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
+                    },
                     {
                         "label": "System Message",
                         "name": "systemMessagePrompt",
@@ -471,6 +505,31 @@
                         "optional": true,
                         "placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
                         "id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
+                    },
+                    {
+                        "label": "Chain Option",
+                        "name": "chainOption",
+                        "type": "options",
+                        "options": [
+                            {
+                                "label": "MapReduceDocumentsChain",
+                                "name": "map_reduce",
+                                "description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
+                            },
+                            {
+                                "label": "RefineDocumentsChain",
+                                "name": "refine",
+                                "description": "Suitable for QA tasks over a large number of documents."
+                            },
+                            {
+                                "label": "StuffDocumentsChain",
+                                "name": "stuff",
+                                "description": "Suitable for QA tasks over a small number of documents."
+                            }
+                        ],
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-chainOption-options"
                     }
                 ],
                 "inputAnchors": [

packages/server/marketplaces/MRKLAgent.json

@@ -197,6 +197,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Metadata Filter Load.json

@@ -114,6 +114,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -193,6 +201,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -261,6 +277,7 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
                     },
                     {
@@ -270,6 +287,16 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "pineconeExistingIndex_0-input-pineconeMetadataFilter-json"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeExistingIndex_0-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -339,6 +366,13 @@
                 "category": "Chains",
                 "description": "Document QA - built on RetrievalQAChain to provide a chat history component",
                 "inputParams": [
+                    {
+                        "label": "Return Source Documents",
+                        "name": "returnSourceDocuments",
+                        "type": "boolean",
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
+                    },
                     {
                         "label": "System Message",
                         "name": "systemMessagePrompt",
@@ -348,6 +382,31 @@
                         "optional": true,
                         "placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
                         "id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
+                    },
+                    {
+                        "label": "Chain Option",
+                        "name": "chainOption",
+                        "type": "options",
+                        "options": [
+                            {
+                                "label": "MapReduceDocumentsChain",
+                                "name": "map_reduce",
+                                "description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
+                            },
+                            {
+                                "label": "RefineDocumentsChain",
+                                "name": "refine",
+                                "description": "Suitable for QA tasks over a large number of documents."
+                            },
+                            {
+                                "label": "StuffDocumentsChain",
+                                "name": "stuff",
+                                "description": "Suitable for QA tasks over a small number of documents."
+                            }
+                        ],
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-chainOption-options"
                     }
                 ],
                 "inputAnchors": [

packages/server/marketplaces/Metadata Filter Upsert.json

@@ -171,6 +171,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -250,6 +258,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -466,7 +482,18 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeUpsert_0-input-pineconeNamespace-string"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeUpsert_0-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -543,6 +570,13 @@
                 "category": "Chains",
                 "description": "Document QA - built on RetrievalQAChain to provide a chat history component",
                 "inputParams": [
+                    {
+                        "label": "Return Source Documents",
+                        "name": "returnSourceDocuments",
+                        "type": "boolean",
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
+                    },
                     {
                         "label": "System Message",
                         "name": "systemMessagePrompt",
@@ -552,6 +586,31 @@
                         "optional": true,
                         "placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
                         "id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
+                    },
+                    {
+                        "label": "Chain Option",
+                        "name": "chainOption",
+                        "type": "options",
+                        "options": [
+                            {
+                                "label": "MapReduceDocumentsChain",
+                                "name": "map_reduce",
+                                "description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
+                            },
+                            {
+                                "label": "RefineDocumentsChain",
+                                "name": "refine",
+                                "description": "Suitable for QA tasks over a large number of documents."
+                            },
+                            {
+                                "label": "StuffDocumentsChain",
+                                "name": "stuff",
+                                "description": "Suitable for QA tasks over a small number of documents."
+                            }
+                        ],
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "conversationalRetrievalQAChain_0-input-chainOption-options"
                     }
                 ],
                 "inputAnchors": [

packages/server/marketplaces/Multi Prompt Chain.json

@@ -362,6 +362,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Multi Retrieval QA Chain.json

@@ -3,7 +3,7 @@
     "nodes": [
         {
             "width": 300,
-            "height": 505,
+            "height": 504,
             "id": "vectorStoreRetriever_0",
             "position": {
                 "x": 712.9322670298264,
@@ -69,7 +69,7 @@
         },
         {
             "width": 300,
-            "height": 280,
+            "height": 279,
             "id": "multiRetrievalQAChain_0",
             "position": {
                 "x": 1563.0150452201099,
@@ -128,7 +128,7 @@
         },
         {
             "width": 300,
-            "height": 505,
+            "height": 504,
             "id": "vectorStoreRetriever_1",
             "position": {
                 "x": 711.4902931206071,
@@ -194,7 +194,7 @@
         },
         {
             "width": 300,
-            "height": 505,
+            "height": 504,
             "id": "vectorStoreRetriever_2",
             "position": {
                 "x": 706.0716220151372,
@@ -260,7 +260,7 @@
         },
         {
             "width": 300,
-            "height": 524,
+            "height": 523,
             "id": "chatOpenAI_0",
             "position": {
                 "x": 1206.027762600755,
@@ -359,6 +359,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -391,7 +399,7 @@
         },
         {
             "width": 300,
-            "height": 330,
+            "height": 329,
             "id": "openAIEmbeddings_0",
             "position": {
                 "x": -254.88737984323413,
@@ -436,6 +444,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -464,7 +480,7 @@
         },
         {
             "width": 300,
-            "height": 703,
+            "height": 603,
             "id": "pineconeExistingIndex_0",
             "position": {
                 "x": 271.2513182410521,
@@ -504,6 +520,7 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
                     },
                     {
@@ -513,6 +530,16 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "pineconeExistingIndex_0-input-pineconeMetadataFilter-json"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeExistingIndex_0-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -566,11 +593,11 @@
         },
         {
             "width": 300,
-            "height": 454,
+            "height": 505,
             "id": "chromaExistingIndex_0",
             "position": {
-                "x": 274.1430731555137,
+                "x": 269.2940530300552,
-                "y": 335.15344698725556
+                "y": 262.41814510537796
             },
             "type": "customNode",
             "data": {
@@ -594,6 +621,16 @@
                         "type": "string",
                         "optional": true,
                         "id": "chromaExistingIndex_0-input-chromaURL-string"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "chromaExistingIndex_0-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -638,14 +675,14 @@
             },
             "selected": false,
             "positionAbsolute": {
-                "x": 274.1430731555137,
+                "x": 269.2940530300552,
-                "y": 335.15344698725556
+                "y": 262.41814510537796
             },
             "dragging": false
         },
         {
             "width": 300,
-            "height": 703,
+            "height": 702,
             "id": "supabaseExistingIndex_0",
             "position": {
                 "x": 273.7097153973373,
@@ -692,6 +729,16 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "supabaseExistingIndex_0-input-supabaseMetadataFilter-json"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "supabaseExistingIndex_0-input-topK-number"
                     }
                 ],
                 "inputAnchors": [

packages/server/marketplaces/Multiple VectorDB.json

@@ -3,7 +3,7 @@
     "nodes": [
         {
             "width": 300,
-            "height": 330,
+            "height": 329,
             "id": "openAIEmbeddings_2",
             "position": {
                 "x": 155.07832615625986,
@@ -48,6 +48,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_2-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_2-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -76,11 +84,11 @@
         },
         {
             "width": 300,
-            "height": 355,
+            "height": 505,
             "id": "chromaExistingIndex_1",
             "position": {
                 "x": 522.8177328694987,
-                "y": -548.8355398674973
+                "y": -723.8834555183237
             },
             "type": "customNode",
             "data": {
@@ -97,6 +105,23 @@
                         "name": "collectionName",
                         "type": "string",
                         "id": "chromaExistingIndex_1-input-collectionName-string"
+                    },
+                    {
+                        "label": "Chroma URL",
+                        "name": "chromaURL",
+                        "type": "string",
+                        "optional": true,
+                        "id": "chromaExistingIndex_1-input-chromaURL-string"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "chromaExistingIndex_1-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -134,24 +159,24 @@
                     }
                 ],
                 "outputs": {
-                    "output": "vectorStore"
+                    "output": "retriever"
                 },
                 "selected": false
             },
             "positionAbsolute": {
                 "x": 522.8177328694987,
-                "y": -548.8355398674973
+                "y": -723.8834555183237
             },
             "selected": false,
             "dragging": false
         },
         {
             "width": 300,
-            "height": 524,
+            "height": 523,
             "id": "openAI_3",
             "position": {
-                "x": 512.7434966474709,
+                "x": 527.7101375911075,
-                "y": -1107.9938317347255
+                "y": -1290.6752949922043
             },
             "type": "customNode",
             "data": {
@@ -258,6 +283,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_3-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_3-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -284,69 +317,15 @@
                 "selected": false
             },
             "positionAbsolute": {
-                "x": 512.7434966474709,
+                "x": 527.7101375911075,
-                "y": -1107.9938317347255
+                "y": -1290.6752949922043
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             "dragging": false
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             "width": 300,
-            "height": 280,
+            "height": 601,
-            "id": "vectorDBQAChain_2",
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-                "y": -823.6550506138045
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-            "data": {
-                "id": "vectorDBQAChain_2",
-                "label": "VectorDB QA Chain",
-                "name": "vectorDBQAChain",
-                "type": "VectorDBQAChain",
-                "baseClasses": ["VectorDBQAChain", "BaseChain", "BaseLangChain"],
-                "category": "Chains",
-                "description": "QA chain for vector databases",
-                "inputParams": [],
-                "inputAnchors": [
-                    {
-                        "label": "Language Model",
-                        "name": "model",
-                        "type": "BaseLanguageModel",
-                        "id": "vectorDBQAChain_2-input-model-BaseLanguageModel"
-                    },
-                    {
-                        "label": "Vector Store",
-                        "name": "vectorStore",
-                        "type": "VectorStore",
-                        "id": "vectorDBQAChain_2-input-vectorStore-VectorStore"
-                    }
-                ],
-                "inputs": {
-                    "model": "{{openAI_3.data.instance}}",
-                    "vectorStore": "{{chromaExistingIndex_1.data.instance}}"
-                },
-                "outputAnchors": [
-                    {
-                        "id": "vectorDBQAChain_2-output-vectorDBQAChain-VectorDBQAChain|BaseChain|BaseLangChain",
-                        "name": "vectorDBQAChain",
-                        "label": "VectorDBQAChain",
-                        "type": "VectorDBQAChain | BaseChain | BaseLangChain"
-                    }
-                ],
-                "outputs": {},
-                "selected": false
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-            "dragging": false
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-        {
-            "width": 300,
-            "height": 602,
             "id": "chainTool_2",
             "position": {
                 "x": 1251.240972921597,
@@ -397,7 +376,7 @@
                     "name": "ai-paper-qa",
                     "description": "AI Paper QA - useful for when you need to ask questions about the AI-Generated Content paper.",
                     "returnDirect": "",
-                    "baseChain": "{{vectorDBQAChain_2.data.instance}}"
+                    "baseChain": "{{retrievalQAChain_0.data.instance}}"
                 },
                 "outputAnchors": [
                     {
@@ -419,7 +398,7 @@
         },
         {
             "width": 300,
-            "height": 143,
+            "height": 142,
             "id": "calculator_1",
             "position": {
                 "x": 1649.5389102641816,
@@ -457,7 +436,7 @@
         },
         {
             "width": 300,
-            "height": 278,
+            "height": 277,
             "id": "serpAPI_0",
             "position": {
                 "x": 1654.5273488033688,
@@ -502,7 +481,7 @@
         },
         {
             "width": 300,
-            "height": 330,
+            "height": 329,
             "id": "openAIEmbeddings_3",
             "position": {
                 "x": 163.902196956619,
@@ -547,6 +526,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_3-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_3-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -575,7 +562,7 @@
         },
         {
             "width": 300,
-            "height": 524,
+            "height": 523,
             "id": "openAI_4",
             "position": {
                 "x": 529.8870809493459,
@@ -686,6 +673,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_4-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_4-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -720,11 +715,11 @@
         },
         {
             "width": 300,
-            "height": 703,
+            "height": 603,
             "id": "pineconeExistingIndex_1",
             "position": {
-                "x": 539.4840212380209,
+                "x": 525.6644489497978,
-                "y": 452.3690065882661
+                "y": 420.1233379157454
             },
             "type": "customNode",
             "data": {
@@ -760,6 +755,7 @@
                         "type": "string",
                         "placeholder": "my-first-namespace",
                         "optional": true,
+                        "additionalParams": true,
                         "id": "pineconeExistingIndex_1-input-pineconeNamespace-string"
                     },
                     {
@@ -769,6 +765,16 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "pineconeExistingIndex_1-input-pineconeMetadataFilter-json"
+                    },
+                    {
+                        "label": "Top K",
+                        "name": "topK",
+                        "description": "Number of top results to fetch. Default to 4",
+                        "placeholder": "4",
+                        "type": "number",
+                        "additionalParams": true,
+                        "optional": true,
+                        "id": "pineconeExistingIndex_1-input-topK-number"
                     }
                 ],
                 "inputAnchors": [
@@ -808,78 +814,24 @@
                     }
                 ],
                 "outputs": {
-                    "output": "vectorStore"
+                    "output": "retriever"
                 },
                 "selected": false
             },
             "selected": false,
             "dragging": false,
             "positionAbsolute": {
-                "x": 539.4840212380209,
+                "x": 525.6644489497978,
-                "y": 452.3690065882661
+                "y": 420.1233379157454
             }
         },
         {
             "width": 300,
-            "height": 280,
+            "height": 601,
-            "id": "vectorDBQAChain_3",
-            "position": {
-                "x": 896.3238465010572,
-                "y": 173.57643605877104
-            },
-            "type": "customNode",
-            "data": {
-                "id": "vectorDBQAChain_3",
-                "label": "VectorDB QA Chain",
-                "name": "vectorDBQAChain",
-                "type": "VectorDBQAChain",
-                "baseClasses": ["VectorDBQAChain", "BaseChain", "BaseLangChain"],
-                "category": "Chains",
-                "description": "QA chain for vector databases",
-                "inputParams": [],
-                "inputAnchors": [
-                    {
-                        "label": "Language Model",
-                        "name": "model",
-                        "type": "BaseLanguageModel",
-                        "id": "vectorDBQAChain_3-input-model-BaseLanguageModel"
-                    },
-                    {
-                        "label": "Vector Store",
-                        "name": "vectorStore",
-                        "type": "VectorStore",
-                        "id": "vectorDBQAChain_3-input-vectorStore-VectorStore"
-                    }
-                ],
-                "inputs": {
-                    "model": "{{openAI_4.data.instance}}",
-                    "vectorStore": "{{pineconeExistingIndex_1.data.instance}}"
-                },
-                "outputAnchors": [
-                    {
-                        "id": "vectorDBQAChain_3-output-vectorDBQAChain-VectorDBQAChain|BaseChain|BaseLangChain",
-                        "name": "vectorDBQAChain",
-                        "label": "VectorDBQAChain",
-                        "type": "VectorDBQAChain | BaseChain | BaseLangChain"
-                    }
-                ],
-                "outputs": {},
-                "selected": false
-            },
-            "positionAbsolute": {
-                "x": 896.3238465010572,
-                "y": 173.57643605877104
-            },
-            "selected": false,
-            "dragging": false
-        },
-        {
-            "width": 300,
-            "height": 602,
             "id": "chainTool_3",
             "position": {
-                "x": 1260.8044270644157,
+                "x": 1267.7142132085273,
-                "y": -244.7000095631508
+                "y": -85.7749282485849
             },
             "type": "customNode",
             "data": {
@@ -926,7 +878,7 @@
                     "name": "state-of-union-qa",
                     "description": "State of the Union QA - useful for when you need to ask questions about the most recent state of the union address.",
                     "returnDirect": "",
-                    "baseChain": "{{vectorDBQAChain_3.data.instance}}"
+                    "baseChain": "{{retrievalQAChain_1.data.instance}}"
                 },
                 "outputAnchors": [
                     {
@@ -942,13 +894,13 @@
             "selected": false,
             "dragging": false,
             "positionAbsolute": {
-                "x": 1260.8044270644157,
+                "x": 1267.7142132085273,
-                "y": -244.7000095631508
+                "y": -85.7749282485849
             }
         },
         {
             "width": 300,
-            "height": 524,
+            "height": 523,
             "id": "openAI_5",
             "position": {
                 "x": 1683.95439713088,
@@ -1059,6 +1011,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_5-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_5-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -1093,7 +1053,7 @@
         },
         {
             "width": 300,
-            "height": 280,
+            "height": 279,
             "id": "mrklAgentLLM_0",
             "position": {
                 "x": 2061.891333395338,
@@ -1150,6 +1110,114 @@
                 "y": -140.0694021759809
             },
             "dragging": false
+        },
+        {
+            "width": 300,
+            "height": 279,
+            "id": "retrievalQAChain_0",
+            "position": {
+                "x": 898.1253096948574,
+                "y": -859.1174013418433
+            },
+            "type": "customNode",
+            "data": {
+                "id": "retrievalQAChain_0",
+                "label": "Retrieval QA Chain",
+                "name": "retrievalQAChain",
+                "type": "RetrievalQAChain",
+                "baseClasses": ["RetrievalQAChain", "BaseChain", "BaseLangChain"],
+                "category": "Chains",
+                "description": "QA chain to answer a question based on the retrieved documents",
+                "inputParams": [],
+                "inputAnchors": [
+                    {
+                        "label": "Language Model",
+                        "name": "model",
+                        "type": "BaseLanguageModel",
+                        "id": "retrievalQAChain_0-input-model-BaseLanguageModel"
+                    },
+                    {
+                        "label": "Vector Store Retriever",
+                        "name": "vectorStoreRetriever",
+                        "type": "BaseRetriever",
+                        "id": "retrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
+                    }
+                ],
+                "inputs": {
+                    "model": "{{openAI_3.data.instance}}",
+                    "vectorStoreRetriever": "{{chromaExistingIndex_1.data.instance}}"
+                },
+                "outputAnchors": [
+                    {
+                        "id": "retrievalQAChain_0-output-retrievalQAChain-RetrievalQAChain|BaseChain|BaseLangChain",
+                        "name": "retrievalQAChain",
+                        "label": "RetrievalQAChain",
+                        "type": "RetrievalQAChain | BaseChain | BaseLangChain"
+                    }
+                ],
+                "outputs": {},
+                "selected": false
+            },
+            "selected": false,
+            "positionAbsolute": {
+                "x": 898.1253096948574,
+                "y": -859.1174013418433
+            },
+            "dragging": false
+        },
+        {
+            "width": 300,
+            "height": 279,
+            "id": "retrievalQAChain_1",
+            "position": {
+                "x": 895.4349543765911,
+                "y": 166.60331503487222
+            },
+            "type": "customNode",
+            "data": {
+                "id": "retrievalQAChain_1",
+                "label": "Retrieval QA Chain",
+                "name": "retrievalQAChain",
+                "type": "RetrievalQAChain",
+                "baseClasses": ["RetrievalQAChain", "BaseChain", "BaseLangChain"],
+                "category": "Chains",
+                "description": "QA chain to answer a question based on the retrieved documents",
+                "inputParams": [],
+                "inputAnchors": [
+                    {
+                        "label": "Language Model",
+                        "name": "model",
+                        "type": "BaseLanguageModel",
+                        "id": "retrievalQAChain_1-input-model-BaseLanguageModel"
+                    },
+                    {
+                        "label": "Vector Store Retriever",
+                        "name": "vectorStoreRetriever",
+                        "type": "BaseRetriever",
+                        "id": "retrievalQAChain_1-input-vectorStoreRetriever-BaseRetriever"
+                    }
+                ],
+                "inputs": {
+                    "model": "{{openAI_4.data.instance}}",
+                    "vectorStoreRetriever": "{{pineconeExistingIndex_1.data.instance}}"
+                },
+                "outputAnchors": [
+                    {
+                        "id": "retrievalQAChain_1-output-retrievalQAChain-RetrievalQAChain|BaseChain|BaseLangChain",
+                        "name": "retrievalQAChain",
+                        "label": "RetrievalQAChain",
+                        "type": "RetrievalQAChain | BaseChain | BaseLangChain"
+                    }
+                ],
+                "outputs": {},
+                "selected": false
+            },
+            "selected": false,
+            "positionAbsolute": {
+                "x": 895.4349543765911,
+                "y": 166.60331503487222
+            },
+            "dragging": false
         }
     ],
     "edges": [
@@ -1164,50 +1232,6 @@
                 "label": ""
             }
         },
-        {
-            "source": "chromaExistingIndex_1",
-            "sourceHandle": "chromaExistingIndex_1-output-vectorStore-Chroma|VectorStore",
-            "target": "vectorDBQAChain_2",
-            "targetHandle": "vectorDBQAChain_2-input-vectorStore-VectorStore",
-            "type": "buttonedge",
-            "id": "chromaExistingIndex_1-chromaExistingIndex_1-output-vectorStore-Chroma|VectorStore-vectorDBQAChain_2-vectorDBQAChain_2-input-vectorStore-VectorStore",
-            "data": {
-                "label": ""
-            }
-        },
-        {
-            "source": "openAI_3",
-            "sourceHandle": "openAI_3-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
-            "target": "vectorDBQAChain_2",
-            "targetHandle": "vectorDBQAChain_2-input-model-BaseLanguageModel",
-            "type": "buttonedge",
-            "id": "openAI_3-openAI_3-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-vectorDBQAChain_2-vectorDBQAChain_2-input-model-BaseLanguageModel",
-            "data": {
-                "label": ""
-            }
-        },
-        {
-            "source": "vectorDBQAChain_2",
-            "sourceHandle": "vectorDBQAChain_2-output-vectorDBQAChain-VectorDBQAChain|BaseChain|BaseLangChain",
-            "target": "chainTool_2",
-            "targetHandle": "chainTool_2-input-baseChain-BaseChain",
-            "type": "buttonedge",
-            "id": "vectorDBQAChain_2-vectorDBQAChain_2-output-vectorDBQAChain-VectorDBQAChain|BaseChain|BaseLangChain-chainTool_2-chainTool_2-input-baseChain-BaseChain",
-            "data": {
-                "label": ""
-            }
-        },
-        {
-            "source": "openAI_4",
-            "sourceHandle": "openAI_4-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
-            "target": "vectorDBQAChain_3",
-            "targetHandle": "vectorDBQAChain_3-input-model-BaseLanguageModel",
-            "type": "buttonedge",
-            "id": "openAI_4-openAI_4-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-vectorDBQAChain_3-vectorDBQAChain_3-input-model-BaseLanguageModel",
-            "data": {
-                "label": ""
-            }
-        },
         {
             "source": "openAIEmbeddings_3",
             "sourceHandle": "openAIEmbeddings_3-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
@@ -1219,28 +1243,6 @@
                 "label": ""
             }
         },
-        {
-            "source": "vectorDBQAChain_3",
-            "sourceHandle": "vectorDBQAChain_3-output-vectorDBQAChain-VectorDBQAChain|BaseChain|BaseLangChain",
-            "target": "chainTool_3",
-            "targetHandle": "chainTool_3-input-baseChain-BaseChain",
-            "type": "buttonedge",
-            "id": "vectorDBQAChain_3-vectorDBQAChain_3-output-vectorDBQAChain-VectorDBQAChain|BaseChain|BaseLangChain-chainTool_3-chainTool_3-input-baseChain-BaseChain",
-            "data": {
-                "label": ""
-            }
-        },
-        {
-            "source": "pineconeExistingIndex_1",
-            "sourceHandle": "pineconeExistingIndex_1-output-vectorStore-Pinecone|VectorStore",
-            "target": "vectorDBQAChain_3",
-            "targetHandle": "vectorDBQAChain_3-input-vectorStore-VectorStore",
-            "type": "buttonedge",
-            "id": "pineconeExistingIndex_1-pineconeExistingIndex_1-output-vectorStore-Pinecone|VectorStore-vectorDBQAChain_3-vectorDBQAChain_3-input-vectorStore-VectorStore",
-            "data": {
-                "label": ""
-            }
-        },
         {
             "source": "serpAPI_0",
             "sourceHandle": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain",
@@ -1295,6 +1297,72 @@
             "data": {
                 "label": ""
             }
+        },
+        {
+            "source": "openAI_3",
+            "sourceHandle": "openAI_3-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
+            "target": "retrievalQAChain_0",
+            "targetHandle": "retrievalQAChain_0-input-model-BaseLanguageModel",
+            "type": "buttonedge",
+            "id": "openAI_3-openAI_3-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-retrievalQAChain_0-retrievalQAChain_0-input-model-BaseLanguageModel",
+            "data": {
+                "label": ""
+            }
+        },
+        {
+            "source": "chromaExistingIndex_1",
+            "sourceHandle": "chromaExistingIndex_1-output-retriever-Chroma|VectorStoreRetriever|BaseRetriever",
+            "target": "retrievalQAChain_0",
+            "targetHandle": "retrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
+            "type": "buttonedge",
+            "id": "chromaExistingIndex_1-chromaExistingIndex_1-output-retriever-Chroma|VectorStoreRetriever|BaseRetriever-retrievalQAChain_0-retrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
+            "data": {
+                "label": ""
+            }
+        },
+        {
+            "source": "retrievalQAChain_0",
+            "sourceHandle": "retrievalQAChain_0-output-retrievalQAChain-RetrievalQAChain|BaseChain|BaseLangChain",
+            "target": "chainTool_2",
+            "targetHandle": "chainTool_2-input-baseChain-BaseChain",
+            "type": "buttonedge",
+            "id": "retrievalQAChain_0-retrievalQAChain_0-output-retrievalQAChain-RetrievalQAChain|BaseChain|BaseLangChain-chainTool_2-chainTool_2-input-baseChain-BaseChain",
+            "data": {
+                "label": ""
+            }
+        },
+        {
+            "source": "openAI_4",
+            "sourceHandle": "openAI_4-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
+            "target": "retrievalQAChain_1",
+            "targetHandle": "retrievalQAChain_1-input-model-BaseLanguageModel",
+            "type": "buttonedge",
+            "id": "openAI_4-openAI_4-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-retrievalQAChain_1-retrievalQAChain_1-input-model-BaseLanguageModel",
+            "data": {
+                "label": ""
+            }
+        },
+        {
+            "source": "pineconeExistingIndex_1",
+            "sourceHandle": "pineconeExistingIndex_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
+            "target": "retrievalQAChain_1",
+            "targetHandle": "retrievalQAChain_1-input-vectorStoreRetriever-BaseRetriever",
+            "type": "buttonedge",
+            "id": "pineconeExistingIndex_1-pineconeExistingIndex_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-retrievalQAChain_1-retrievalQAChain_1-input-vectorStoreRetriever-BaseRetriever",
+            "data": {
+                "label": ""
+            }
+        },
+        {
+            "source": "retrievalQAChain_1",
+            "sourceHandle": "retrievalQAChain_1-output-retrievalQAChain-RetrievalQAChain|BaseChain|BaseLangChain",
+            "target": "chainTool_3",
+            "targetHandle": "chainTool_3-input-baseChain-BaseChain",
+            "type": "buttonedge",
+            "id": "retrievalQAChain_1-retrievalQAChain_1-output-retrievalQAChain-RetrievalQAChain|BaseChain|BaseLangChain-chainTool_3-chainTool_3-input-baseChain-BaseChain",
+            "data": {
+                "label": ""
+            }
         }
     ]
 }

packages/server/marketplaces/Prompt Chaining.json

@@ -114,6 +114,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_2-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_2-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -461,6 +469,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_3-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_3-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/SQL DB Chain.json

@@ -114,6 +114,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Simple Conversation Chain.json

@@ -102,6 +102,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Simple LLM Chain.json

@@ -114,6 +114,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Translator.json

@@ -172,6 +172,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/WebBrowser.json

@@ -102,6 +102,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -235,6 +243,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAIEmbeddings_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAIEmbeddings_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],
@@ -362,6 +378,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "chatOpenAI_1-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "chatOpenAI_1-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],

packages/server/marketplaces/Zapier NLA.json

@@ -159,6 +159,14 @@
                         "optional": true,
                         "additionalParams": true,
                         "id": "openAI_0-input-timeout-number"
+                    },
+                    {
+                        "label": "BasePath",
+                        "name": "basepath",
+                        "type": "string",
+                        "optional": true,
+                        "additionalParams": true,
+                        "id": "openAI_0-input-basepath-string"
                     }
                 ],
                 "inputAnchors": [],