From 7d13b6323fe426ccf209e6c1f11646c363bc98d1 Mon Sep 17 00:00:00 2001 From: Henry Date: Wed, 22 Nov 2023 19:48:01 +0000 Subject: [PATCH] fix namings, update description, show badge and node info --- .../retrievers/HydeRetriever/HydeRetriever.ts | 2 +- .../nodes/vectorstores/Chroma/Chroma.ts | 2 +- .../Elasticsearch/Elasticsearch.ts | 3 +- .../nodes/vectorstores/Faiss/Faiss.ts | 2 +- .../nodes/vectorstores/Milvus/Milvus.ts | 4 +- .../vectorstores/OpenSearch/OpenSearch.ts | 2 +- .../nodes/vectorstores/Pinecone/Pinecone.ts | 2 +- .../nodes/vectorstores/Postgres/Postgres.ts | 2 +- .../nodes/vectorstores/Qdrant/Qdrant.ts | 3 +- .../nodes/vectorstores/Redis/Redis.ts | 3 +- .../vectorstores/Singlestore/Singlestore.ts | 7 +- .../nodes/vectorstores/Supabase/Supabase.ts | 6 +- .../nodes/vectorstores/Vectara/Vectara.ts | 6 +- .../nodes/vectorstores/Weaviate/Weaviate.ts | 3 +- .../components/nodes/vectorstores/Zep/Zep.ts | 3 +- .../marketplaces/chatflows/AutoGPT.json | 2 +- .../marketplaces/chatflows/BabyAGI.json | 2 +- .../Conversational Retrieval Agent.json | 2 +- .../Conversational Retrieval QA Chain.json | 2 +- .../marketplaces/chatflows/Local QnA.json | 2 +- .../chatflows/Long Term Memory.json | 2 +- .../chatflows/Metadata Filter.json | 2 +- .../chatflows/Multi Retrieval QA Chain.json | 6 +- .../chatflows/Multiple VectorDB.json | 4 +- .../Prompt Chaining with VectorStore.json | 2 +- .../chatflows/Vectara LLM Chain Upload.json | 2 +- .../marketplaces/chatflows/WebPage QnA.json | 2 +- .../src/ui-component/dialog/NodeInfoDialog.js | 26 ++ packages/ui/src/views/canvas/AddNodes.js | 225 +++++++++++------- packages/ui/src/views/canvas/CanvasNode.js | 6 +- 30 files changed, 214 insertions(+), 123 deletions(-) diff --git a/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts b/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts index 2baf677eb..9ec7ada0c 100644 --- a/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts +++ b/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts @@ -104,7 +104,7 @@ class HydeRetriever_Retrievers implements INode { const promptKey = nodeData.inputs?.promptKey as PromptKey const customPrompt = nodeData.inputs?.customPrompt as string const topK = nodeData.inputs?.topK as string - const k = topK ? parseInt(topK, 10) : 4 + const k = topK ? parseFloat(topK) : 4 const obj: HydeRetrieverOptions = { llm, diff --git a/packages/components/nodes/vectorstores/Chroma/Chroma.ts b/packages/components/nodes/vectorstores/Chroma/Chroma.ts index eef2db79d..6e1cfa679 100644 --- a/packages/components/nodes/vectorstores/Chroma/Chroma.ts +++ b/packages/components/nodes/vectorstores/Chroma/Chroma.ts @@ -27,7 +27,7 @@ class Chroma_VectorStores implements INode { this.type = 'Chroma' this.icon = 'chroma.svg' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Chroma Vector Database' + this.description = 'Upsert embedded data and perform similarity search upon query using Chroma, an open-source embedding database' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { diff --git a/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts index e7915b3e6..5f3cf2066 100644 --- a/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts +++ b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts @@ -24,7 +24,8 @@ class Elasticsearch_VectorStores implements INode { this.label = 'Elasticsearch' this.name = 'elasticsearch' this.version = 1.0 - this.description = 'Upsert or Load data to Elasticsearch Vector Database' + this.description = + 'Upsert embedded data and perform similarity search upon query using Elasticsearch, a distributed search and analytics engine' this.type = 'Elasticsearch' this.icon = 'elasticsearch.png' this.category = 'Vector Stores' diff --git a/packages/components/nodes/vectorstores/Faiss/Faiss.ts b/packages/components/nodes/vectorstores/Faiss/Faiss.ts index e2c1512e9..4120a57e2 100644 --- a/packages/components/nodes/vectorstores/Faiss/Faiss.ts +++ b/packages/components/nodes/vectorstores/Faiss/Faiss.ts @@ -25,7 +25,7 @@ class Faiss_VectorStores implements INode { this.type = 'Faiss' this.icon = 'faiss.svg' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Faiss Vector Store' + this.description = 'Upsert embedded data and perform similarity search upon query using Faiss library from Meta' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.inputs = [ diff --git a/packages/components/nodes/vectorstores/Milvus/Milvus.ts b/packages/components/nodes/vectorstores/Milvus/Milvus.ts index b937be1e7..090f35f74 100644 --- a/packages/components/nodes/vectorstores/Milvus/Milvus.ts +++ b/packages/components/nodes/vectorstores/Milvus/Milvus.ts @@ -31,7 +31,7 @@ class Milvus_VectorStores implements INode { this.type = 'Milvus' this.icon = 'milvus.svg' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Milvus Vector Database' + this.description = `Upsert embedded data and perform similarity search upon query using Milvus, world's most advanced open-source vector database` this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { @@ -159,7 +159,7 @@ class Milvus_VectorStores implements INode { const output = nodeData.outputs?.output as string // format data - const k = topK ? parseInt(topK, 10) : 4 + const k = topK ? parseFloat(topK) : 4 // credential const credentialData = await getCredentialData(nodeData.credential ?? '', options) diff --git a/packages/components/nodes/vectorstores/OpenSearch/OpenSearch.ts b/packages/components/nodes/vectorstores/OpenSearch/OpenSearch.ts index 66f04143b..e3e18ce14 100644 --- a/packages/components/nodes/vectorstores/OpenSearch/OpenSearch.ts +++ b/packages/components/nodes/vectorstores/OpenSearch/OpenSearch.ts @@ -26,7 +26,7 @@ class OpenSearch_VectorStores implements INode { this.type = 'OpenSearch' this.icon = 'opensearch.png' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to OpenSearch Vector Database' + this.description = `Upsert embedded data and perform similarity search upon query using OpenSearch, an open-source, all-in-one vector database` this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.inputs = [ diff --git a/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts b/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts index e4ef9fb75..4ece4720a 100644 --- a/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts +++ b/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts @@ -27,7 +27,7 @@ class Pinecone_VectorStores implements INode { this.type = 'Pinecone' this.icon = 'pinecone.png' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Pinecone Vector Database' + this.description = `Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database` this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { diff --git a/packages/components/nodes/vectorstores/Postgres/Postgres.ts b/packages/components/nodes/vectorstores/Postgres/Postgres.ts index 0609d0b57..ac4b80c3c 100644 --- a/packages/components/nodes/vectorstores/Postgres/Postgres.ts +++ b/packages/components/nodes/vectorstores/Postgres/Postgres.ts @@ -28,7 +28,7 @@ class Postgres_VectorStores implements INode { this.type = 'Postgres' this.icon = 'postgres.svg' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Postgres using pgvector' + this.description = 'Upsert embedded data and perform similarity search upon query using pgvector on Postgres' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { diff --git a/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts b/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts index 6de2c1869..6413f8bf8 100644 --- a/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts +++ b/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts @@ -30,7 +30,8 @@ class Qdrant_VectorStores implements INode { this.type = 'Qdrant' this.icon = 'qdrant.png' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Qdrant Vector Database' + this.description = + 'Upsert embedded data and perform similarity search upon query using Qdrant, a scalable open source vector database written in Rust' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { diff --git a/packages/components/nodes/vectorstores/Redis/Redis.ts b/packages/components/nodes/vectorstores/Redis/Redis.ts index d857e2256..dc993b866 100644 --- a/packages/components/nodes/vectorstores/Redis/Redis.ts +++ b/packages/components/nodes/vectorstores/Redis/Redis.ts @@ -25,7 +25,8 @@ class Redis_VectorStores implements INode { this.label = 'Redis' this.name = 'redis' this.version = 1.0 - this.description = 'Upsert or Load data to Redis' + this.description = + 'Upsert embedded data and perform similarity search upon query using Redis, an open source, in-memory data structure store' this.type = 'Redis' this.icon = 'redis.svg' this.category = 'Vector Stores' diff --git a/packages/components/nodes/vectorstores/Singlestore/Singlestore.ts b/packages/components/nodes/vectorstores/Singlestore/Singlestore.ts index 3597f41e1..d16252ac9 100644 --- a/packages/components/nodes/vectorstores/Singlestore/Singlestore.ts +++ b/packages/components/nodes/vectorstores/Singlestore/Singlestore.ts @@ -26,7 +26,8 @@ class SingleStore_VectorStores implements INode { this.type = 'SingleStore' this.icon = 'singlestore.svg' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to SingleStore Vector Database' + this.description = + 'Upsert embedded data and perform similarity search upon query using SingleStore, a fast and distributed cloud relational database' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { @@ -180,9 +181,7 @@ class SingleStore_VectorStores implements INode { const topK = nodeData.inputs?.topK as string const k = topK ? parseFloat(topK) : 4 - let vectorStore: SingleStoreVectorStore - - vectorStore = new SingleStoreVectorStore(embeddings, singleStoreConnectionConfig) + const vectorStore = new SingleStoreVectorStore(embeddings, singleStoreConnectionConfig) if (output === 'retriever') { const retriever = vectorStore.asRetriever(k) diff --git a/packages/components/nodes/vectorstores/Supabase/Supabase.ts b/packages/components/nodes/vectorstores/Supabase/Supabase.ts index a7de32118..13840ab78 100644 --- a/packages/components/nodes/vectorstores/Supabase/Supabase.ts +++ b/packages/components/nodes/vectorstores/Supabase/Supabase.ts @@ -27,7 +27,7 @@ class Supabase_VectorStores implements INode { this.type = 'Supabase' this.icon = 'supabase.svg' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Supabase using pgvector' + this.description = 'Upsert embedded data and perform similarity search upon query using Supabase via pgvector extension' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { @@ -112,7 +112,9 @@ class Supabase_VectorStores implements INode { const flattenDocs = docs && docs.length ? flatten(docs) : [] const finalDocs = [] for (let i = 0; i < flattenDocs.length; i += 1) { - finalDocs.push(new Document(flattenDocs[i])) + if (flattenDocs[i] && flattenDocs[i].pageContent) { + finalDocs.push(new Document(flattenDocs[i])) + } } try { diff --git a/packages/components/nodes/vectorstores/Vectara/Vectara.ts b/packages/components/nodes/vectorstores/Vectara/Vectara.ts index f12dc4a22..7460c5864 100644 --- a/packages/components/nodes/vectorstores/Vectara/Vectara.ts +++ b/packages/components/nodes/vectorstores/Vectara/Vectara.ts @@ -26,7 +26,7 @@ class Vectara_VectorStores implements INode { this.type = 'Vectara' this.icon = 'vectara.png' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Vectara Vector Database' + this.description = 'Upsert embedded data and perform similarity search upon query using Vectara, a LLM-powered search-as-a-service' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { @@ -65,6 +65,7 @@ class Vectara_VectorStores implements INode { name: 'sentencesBefore', description: 'Number of sentences to fetch before the matched sentence. Defaults to 2.', type: 'number', + default: 2, additionalParams: true, optional: true }, @@ -73,6 +74,7 @@ class Vectara_VectorStores implements INode { name: 'sentencesAfter', description: 'Number of sentences to fetch after the matched sentence. Defaults to 2.', type: 'number', + default: 2, additionalParams: true, optional: true }, @@ -189,7 +191,7 @@ class Vectara_VectorStores implements INode { const lambda = nodeData.inputs?.lambda as number const output = nodeData.outputs?.output as string const topK = nodeData.inputs?.topK as string - const k = topK ? parseInt(topK, 10) : 4 + const k = topK ? parseFloat(topK) : 4 const vectaraArgs: VectaraLibArgs = { apiKey: apiKey, diff --git a/packages/components/nodes/vectorstores/Weaviate/Weaviate.ts b/packages/components/nodes/vectorstores/Weaviate/Weaviate.ts index e54d122b2..5c31c7371 100644 --- a/packages/components/nodes/vectorstores/Weaviate/Weaviate.ts +++ b/packages/components/nodes/vectorstores/Weaviate/Weaviate.ts @@ -27,7 +27,8 @@ class Weaviate_VectorStores implements INode { this.type = 'Weaviate' this.icon = 'weaviate.png' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Weaviate Vector Database' + this.description = + 'Upsert embedded data and perform similarity search upon query using Weaviate, a scalable open-source vector database' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { diff --git a/packages/components/nodes/vectorstores/Zep/Zep.ts b/packages/components/nodes/vectorstores/Zep/Zep.ts index ce863a9ee..21c885b42 100644 --- a/packages/components/nodes/vectorstores/Zep/Zep.ts +++ b/packages/components/nodes/vectorstores/Zep/Zep.ts @@ -27,7 +27,8 @@ class Zep_VectorStores implements INode { this.type = 'Zep' this.icon = 'zep.png' this.category = 'Vector Stores' - this.description = 'Upsert or Load data to Zep Vector Database' + this.description = + 'Upsert embedded data and perform similarity search upon query using Zep, a fast and scalable building block for LLM apps' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'NEW' this.credential = { diff --git a/packages/server/marketplaces/chatflows/AutoGPT.json b/packages/server/marketplaces/chatflows/AutoGPT.json index 5f388da61..150fe17eb 100644 --- a/packages/server/marketplaces/chatflows/AutoGPT.json +++ b/packages/server/marketplaces/chatflows/AutoGPT.json @@ -511,7 +511,7 @@ "type": "Pinecone", "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Pinecone Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/BabyAGI.json b/packages/server/marketplaces/chatflows/BabyAGI.json index 211e9e42c..ab387205e 100644 --- a/packages/server/marketplaces/chatflows/BabyAGI.json +++ b/packages/server/marketplaces/chatflows/BabyAGI.json @@ -166,7 +166,7 @@ "type": "Pinecone", "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Pinecone Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json b/packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json index dd4cf3b16..aafc8e8e2 100644 --- a/packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json +++ b/packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json @@ -301,7 +301,7 @@ "type": "Pinecone", "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Pinecone Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json b/packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json index e775846cc..5c55d8332 100644 --- a/packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json +++ b/packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json @@ -553,7 +553,7 @@ "type": "Pinecone", "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Pinecone Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/Local QnA.json b/packages/server/marketplaces/chatflows/Local QnA.json index fcf8593cb..e24ad7caf 100644 --- a/packages/server/marketplaces/chatflows/Local QnA.json +++ b/packages/server/marketplaces/chatflows/Local QnA.json @@ -555,7 +555,7 @@ "type": "Faiss", "baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Faiss Vector Store", + "description": "Upsert embedded data and perform similarity search upon query using Faiss library from Meta", "inputParams": [ { "label": "Base Path to load", diff --git a/packages/server/marketplaces/chatflows/Long Term Memory.json b/packages/server/marketplaces/chatflows/Long Term Memory.json index f5ff2dca9..c508b4807 100644 --- a/packages/server/marketplaces/chatflows/Long Term Memory.json +++ b/packages/server/marketplaces/chatflows/Long Term Memory.json @@ -351,7 +351,7 @@ "type": "Qdrant", "baseClasses": ["Qdrant", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Qdrant Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Qdrant, a scalable open source vector database written in Rust", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/Metadata Filter.json b/packages/server/marketplaces/chatflows/Metadata Filter.json index f594a2b6c..9865ae701 100644 --- a/packages/server/marketplaces/chatflows/Metadata Filter.json +++ b/packages/server/marketplaces/chatflows/Metadata Filter.json @@ -634,7 +634,7 @@ "type": "Pinecone", "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Pinecone Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json b/packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json index 9032122bf..5388d9657 100644 --- a/packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json +++ b/packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json @@ -560,7 +560,7 @@ "type": "Pinecone", "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Pinecone Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database", "inputParams": [ { "label": "Connect Credential", @@ -678,7 +678,7 @@ "type": "Chroma", "baseClasses": ["Chroma", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Chroma Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Chroma, an open-source embedding database", "inputParams": [ { "label": "Connect Credential", @@ -796,7 +796,7 @@ "type": "Supabase", "baseClasses": ["Supabase", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Supabase using pgvector", + "description": "Upsert embedded data and perform similarity search upon query using Supabase via pgvector extension", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/Multiple VectorDB.json b/packages/server/marketplaces/chatflows/Multiple VectorDB.json index 723b510e6..e77186160 100644 --- a/packages/server/marketplaces/chatflows/Multiple VectorDB.json +++ b/packages/server/marketplaces/chatflows/Multiple VectorDB.json @@ -634,7 +634,7 @@ "type": "Redis", "baseClasses": ["Redis", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Redis", + "description": "Upsert embedded data and perform similarity search upon query using Redis, an open source, in-memory data structure store", "inputParams": [ { "label": "Connect Credential", @@ -776,7 +776,7 @@ "type": "Faiss", "baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Faiss Vector Store", + "description": "Upsert embedded data and perform similarity search upon query using Faiss library from Meta", "inputParams": [ { "label": "Base Path to load", diff --git a/packages/server/marketplaces/chatflows/Prompt Chaining with VectorStore.json b/packages/server/marketplaces/chatflows/Prompt Chaining with VectorStore.json index fca62a76f..0ddec74fd 100644 --- a/packages/server/marketplaces/chatflows/Prompt Chaining with VectorStore.json +++ b/packages/server/marketplaces/chatflows/Prompt Chaining with VectorStore.json @@ -792,7 +792,7 @@ "type": "SingleStore", "baseClasses": ["SingleStore", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to SingleStore Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using SingleStore, a fast and distributed cloud relational database", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/Vectara LLM Chain Upload.json b/packages/server/marketplaces/chatflows/Vectara LLM Chain Upload.json index 4f35bd4cc..d9f9fb49c 100644 --- a/packages/server/marketplaces/chatflows/Vectara LLM Chain Upload.json +++ b/packages/server/marketplaces/chatflows/Vectara LLM Chain Upload.json @@ -305,7 +305,7 @@ "type": "Vectara", "baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Vectara Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Vectara, a LLM-powered search-as-a-service", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/server/marketplaces/chatflows/WebPage QnA.json b/packages/server/marketplaces/chatflows/WebPage QnA.json index da05721b9..9b1119b90 100644 --- a/packages/server/marketplaces/chatflows/WebPage QnA.json +++ b/packages/server/marketplaces/chatflows/WebPage QnA.json @@ -654,7 +654,7 @@ "type": "Pinecone", "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"], "category": "Vector Stores", - "description": "Upsert or Load data to Pinecone Vector Database", + "description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database", "inputParams": [ { "label": "Connect Credential", diff --git a/packages/ui/src/ui-component/dialog/NodeInfoDialog.js b/packages/ui/src/ui-component/dialog/NodeInfoDialog.js index 5abdb0357..6f3bec5de 100644 --- a/packages/ui/src/ui-component/dialog/NodeInfoDialog.js +++ b/packages/ui/src/ui-component/dialog/NodeInfoDialog.js @@ -106,6 +106,32 @@ const NodeInfoDialog = ({ show, dialogProps, onCancel }) => { version {dialogProps.data.version} )} + {dialogProps.data.badge && ( +
+ + {dialogProps.data.badge} + +
+ )} diff --git a/packages/ui/src/views/canvas/AddNodes.js b/packages/ui/src/views/canvas/AddNodes.js index e0e639d14..44030d0ea 100644 --- a/packages/ui/src/views/canvas/AddNodes.js +++ b/packages/ui/src/views/canvas/AddNodes.js @@ -57,6 +57,22 @@ const AddNodes = ({ nodesData, node }) => { const prevOpen = useRef(open) const ps = useRef() + // Temporary method to handle Deprecating Vector Store and New ones + const categorizeVectorStores = (nodes) => { + const obj = { ...nodes } + const vsNodes = obj['Vector Stores'] ?? [] + const deprecatingNodes = [] + const newNodes = [] + for (const vsNode of vsNodes) { + if (vsNode.badge === 'DEPRECATING') deprecatingNodes.push(vsNode) + else newNodes.push(vsNode) + } + delete obj['Vector Stores'] + obj['Vector Stores;DEPRECATING'] = deprecatingNodes + obj['Vector Stores;NEW'] = newNodes + setNodes(obj) + } + const scrollTop = () => { const curr = ps.current if (curr) { @@ -96,6 +112,7 @@ const AddNodes = ({ nodesData, node }) => { return r }, Object.create(null)) setNodes(result) + categorizeVectorStores(result) setCategoryExpanded(accordianCategories) } @@ -138,6 +155,8 @@ const AddNodes = ({ nodesData, node }) => { groupByCategory(nodesData) dispatch({ type: SET_COMPONENT_NODES, componentNodes: nodesData }) } + + // eslint-disable-next-line react-hooks/exhaustive-deps }, [nodesData, dispatch]) return ( @@ -250,99 +269,135 @@ const AddNodes = ({ nodesData, node }) => { > {Object.keys(nodes) .sort() - .map((category) => ( - - } - aria-controls={`nodes-accordian-${category}`} - id={`nodes-accordian-header-${category}`} + .map((category) => + category === 'Vector Stores' ? ( + <> + ) : ( + - {category} - - - {nodes[category].map((node, index) => ( -
onDragStart(event, node)} - draggable - > - } + aria-controls={`nodes-accordian-${category}`} + id={`nodes-accordian-header-${category}`} + > + {category.split(';').length > 1 ? ( +
- - -
- {node.name} -
- - {category.split(';')[0]} +   + +
+ ) : ( + {category} + )} + + + {nodes[category].map((node, index) => ( +
onDragStart(event, node)} + draggable + > + + +
- {node.label} -   - {node.badge && ( - - )} + {node.name}
- } - secondary={node.description} - /> - - - {index === nodes[category].length - 1 ? null : } -
- ))} - - - ))} + + + {node.label} +   + {node.badge && ( + + )} +
+ } + secondary={node.description} + /> + + + {index === nodes[category].length - 1 ? null : } + + ))} + + + ) + )} diff --git a/packages/ui/src/views/canvas/CanvasNode.js b/packages/ui/src/views/canvas/CanvasNode.js index cabe23291..4455afc07 100644 --- a/packages/ui/src/views/canvas/CanvasNode.js +++ b/packages/ui/src/views/canvas/CanvasNode.js @@ -83,8 +83,10 @@ const CanvasNode = ({ data }) => { if (componentNode) { if (!data.version) { setWarningMessage(nodeVersionEmptyMessage(componentNode.version)) - } else { - if (componentNode.version > data.version) setWarningMessage(nodeOutdatedMessage(data.version, componentNode.version)) + } else if (data.version && componentNode.version > data.version) { + setWarningMessage(nodeOutdatedMessage(data.version, componentNode.version)) + } else if (componentNode.badge === 'DEPRECATING') { + setWarningMessage('This node will be deprecated in the next release. Change to a new node tagged with NEW') } } }, [canvas.componentNodes, data.name, data.version])