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Merge pull request #292 from FlowiseAI/feature/TopK 

Feature/Add top K to vector stores
This commit is contained in:
Henry Heng 2023-06-10 18:03:36 +01:00 committed by GitHub
parent 8d350b9bd9 d11cb5f4b4
commit e9184ede0c
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
36 changed files with 925 additions and 238 deletions
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3
packages/components/nodes/agents/BabyAGI/BabyAGI.ts
View File

@ -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
}

12
packages/components/nodes/agents/BabyAGI/core.ts
View File

@ -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)
}
}

2
packages/components/nodes/chains/MultiRetrievalQAChain/MultiRetrievalQAChain.ts
View File

@ -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, {

5
packages/components/nodes/chains/VectorDBQAChain/VectorDBQAChain.ts
View File

@ -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
}

14
packages/components/nodes/vectorstores/Chroma_Existing/Chroma_Existing.ts
View File

@ -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

14
packages/components/nodes/vectorstores/Chroma_Upsert/Chroma_Upsert.ts
View File

@ -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

14
packages/components/nodes/vectorstores/Faiss_Existing/Faiss_Existing.ts
View File

@ -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

14
packages/components/nodes/vectorstores/Faiss_Upsert/Faiss_Upsert.ts
View File

@ -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

13
packages/components/nodes/vectorstores/InMemory/InMemoryVectorStore.ts
View File

@ -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

16
packages/components/nodes/vectorstores/Pinecone_Existing/Pinecone_Existing.ts
View File

@ -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

15
packages/components/nodes/vectorstores/Pinecone_Upsert/Pinecone_Upsert.ts
View File

@ -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

14
packages/components/nodes/vectorstores/Supabase_Existing/Supabase_Exisiting.ts
View File

@ -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

14
packages/components/nodes/vectorstores/Supabase_Upsert/Supabase_Upsert.ts
View File

@ -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

15
packages/components/nodes/vectorstores/Weaviate_Existing/Weaviate_Existing.ts
View File

@ -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

15
packages/components/nodes/vectorstores/Weaviate_Upsert/Weaviate_Upsert.ts
View File

@ -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

24
packages/server/marketplaces/API Agent.json
View File

@ -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": [],

8
packages/server/marketplaces/Antonym.json
View File

@ -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": [],

27
packages/server/marketplaces/AutoGPT.json
View File

@ -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": [

27
packages/server/marketplaces/BabyAGI.json
View File

@ -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": [],

8
packages/server/marketplaces/ChatGPTPlugin.json
View File

@ -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": [],

8
packages/server/marketplaces/Conversational Agent.json
View File

@ -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": [],

59
packages/server/marketplaces/Conversational Retrieval QA Chain.json
View File

@ -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": [

59
packages/server/marketplaces/Github Repo QnA.json
View File

@ -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": [

8
packages/server/marketplaces/MRKLAgent.json
View File

@ -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": [],

59
packages/server/marketplaces/Metadata Filter Load.json
View File

@ -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"
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{
"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"
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],
"inputAnchors": [

59
packages/server/marketplaces/Metadata Filter Upsert.json
View File

@ -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"
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],
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8
packages/server/marketplaces/Multi Prompt Chain.json
View File

@ -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": [],

73
packages/server/marketplaces/Multi Retrieval QA Chain.json
View File

@ -3,7 +3,7 @@
"nodes": [
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"height": 504,
"id": "vectorStoreRetriever_0",
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@ -69,7 +69,7 @@
},
{
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"id": "multiRetrievalQAChain_0",
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@ -128,7 +128,7 @@
},
{
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@ -194,7 +194,7 @@
},
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"id": "vectorStoreRetriever_2",
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@ -260,7 +260,7 @@
},
{
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"id": "chatOpenAI_0",
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@ -359,6 +359,14 @@
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
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{
"label": "BasePath",
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"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
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@ -391,7 +399,7 @@
},
{
"width": 300,
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"height": 329,
"id": "openAIEmbeddings_0",
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@ -436,6 +444,14 @@
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
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"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
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],
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@ -464,7 +480,7 @@
},
{
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"height": 603,
"id": "pineconeExistingIndex_0",
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@ -504,6 +520,7 @@
"type": "string",
"placeholder": "my-first-namespace",
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"additionalParams": true,
"id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
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{
@ -513,6 +530,16 @@
"optional": true,
"additionalParams": true,
"id": "pineconeExistingIndex_0-input-pineconeMetadataFilter-json"
},
{
"label": "Top K",
"name": "topK",
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"placeholder": "4",
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"additionalParams": true,
"optional": true,
"id": "pineconeExistingIndex_0-input-topK-number"
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@ -566,11 +593,11 @@
},
{
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"id": "chromaExistingIndex_0",
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@ -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",
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"additionalParams": true,
"optional": true,
"id": "chromaExistingIndex_0-input-topK-number"
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@ -638,14 +675,14 @@
},
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@ -692,6 +729,16 @@
"optional": true,
"additionalParams": true,
"id": "supabaseExistingIndex_0-input-supabaseMetadataFilter-json"
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"label": "Top K",
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"optional": true,
"id": "supabaseExistingIndex_0-input-topK-number"
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476
packages/server/marketplaces/Multiple VectorDB.json
View File

@ -3,7 +3,7 @@
"nodes": [
{
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@ -48,6 +48,14 @@
"optional": true,
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"id": "openAIEmbeddings_2-input-timeout-number"
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"id": "openAIEmbeddings_2-input-basepath-string"
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@ -76,11 +84,11 @@
},
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@ -97,6 +105,23 @@
"name": "collectionName",
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"id": "chromaExistingIndex_1-input-collectionName-string"
},
{
"label": "Chroma URL",
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"optional": true,
"id": "chromaExistingIndex_1-input-chromaURL-string"
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"label": "Top K",
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"id": "chromaExistingIndex_1-input-topK-number"
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@ -134,24 +159,24 @@
}
],
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"output": "retriever"
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@ -258,6 +283,14 @@
"optional": true,
"additionalParams": true,
"id": "openAI_3-input-timeout-number"
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"id": "openAI_3-input-basepath-string"
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@ -284,69 +317,15 @@
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"id": "vectorDBQAChain_2-output-vectorDBQAChain-VectorDBQAChain|BaseChain|BaseLangChain",
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@ -397,7 +376,7 @@
"name": "ai-paper-qa",
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"baseChain": "{{vectorDBQAChain_2.data.instance}}"
"baseChain": "{{retrievalQAChain_0.data.instance}}"
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{
@ -419,7 +398,7 @@
},
{
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@ -457,7 +436,7 @@
},
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@ -502,7 +481,7 @@
},
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@ -547,6 +526,14 @@
"optional": true,
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"id": "openAIEmbeddings_3-input-timeout-number"
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@ -575,7 +562,7 @@
},
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@ -686,6 +673,14 @@
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"id": "openAI_4-input-timeout-number"
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@ -720,11 +715,11 @@
},
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@ -760,6 +755,7 @@
"type": "string",
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"id": "pineconeExistingIndex_1-input-pineconeNamespace-string"
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@ -769,6 +765,16 @@
"optional": true,
"additionalParams": true,
"id": "pineconeExistingIndex_1-input-pineconeMetadataFilter-json"
},
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"label": "Top K",
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],
"inputAnchors": [
@ -808,78 +814,24 @@
}
],
"outputs": {
"output": "vectorStore"
"output": "retriever"
},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 539.4840212380209,
"y": 452.3690065882661
"x": 525.6644489497978,
"y": 420.1233379157454
}
},
{
"width": 300,
"height": 280,
"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,
"height": 601,
"id": "chainTool_3",
"position": {
"x": 1260.8044270644157,
"y": -244.7000095631508
"x": 1267.7142132085273,
"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,
"y": -244.7000095631508
"x": 1267.7142132085273,
"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": ""
}
}
]
}

16
packages/server/marketplaces/Prompt Chaining.json
View File

@ -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": [],

8
packages/server/marketplaces/SQL DB Chain.json
View File

@ -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": [],

8
packages/server/marketplaces/Simple Conversation Chain.json
View File

@ -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": [],

8
packages/server/marketplaces/Simple LLM Chain.json
View File

@ -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": [],

8
packages/server/marketplaces/Translator.json
View File

@ -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": [],

24
packages/server/marketplaces/WebBrowser.json
View File

@ -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": [],

8
packages/server/marketplaces/Zapier NLA.json
View File

@ -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": [],