Bugfix/Missing Filter for VectorStore to Document (#2285)
add filter for vector store to document
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@ -70,12 +70,19 @@ class VectorStoreToDocument_DocumentLoaders implements INode {
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const output = nodeData.outputs?.output as string
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const topK = (vectorStore as any)?.k ?? 4
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const _filter = (vectorStore as any)?.filter
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const docs = await vectorStore.similaritySearchWithScore(query ?? input, topK)
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// If it is already pre-defined in lc_kwargs, then don't pass it again
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const filter = vectorStore.lc_kwargs.filter ? undefined : _filter
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if (vectorStore.lc_kwargs.filter) {
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;(vectorStore as any).filter = vectorStore.lc_kwargs.filter
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}
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const docs = await vectorStore.similaritySearchWithScore(query ?? input, topK, filter)
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// eslint-disable-next-line no-console
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console.log('\x1b[94m\x1b[1m\n*****VectorStore Documents*****\n\x1b[0m\x1b[0m')
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// eslint-disable-next-line no-console
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console.log(docs)
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console.log(JSON.stringify(docs, null, 2))
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if (output === 'document') {
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let finaldocs = []
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@ -187,6 +187,9 @@ class Chroma_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (chromaMetadataFilter) {
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;(vectorStore as any).filter = obj.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -117,6 +117,9 @@ class Chroma_Existing_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (chromaMetadataFilter) {
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;(vectorStore as any).filter = obj.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -199,6 +199,9 @@ class Milvus_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (milvusFilter) {
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;(vectorStore as any).filter = milvusFilter
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}
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return vectorStore
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}
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return vectorStore
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@ -189,6 +189,9 @@ class Milvus_Existing_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (milvusFilter) {
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;(vectorStore as any).filter = milvusFilter
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}
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return vectorStore
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}
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return vectorStore
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@ -190,7 +190,7 @@ class Pinecone_VectorStores implements INode {
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const vectorStore = await PineconeStore.fromExistingIndex(embeddings, obj)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore, obj.filter)
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}
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}
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@ -354,6 +354,9 @@ class Qdrant_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (queryFilter) {
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;(vectorStore as any).filter = retrieverConfig.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -182,6 +182,9 @@ class Qdrant_Existing_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (queryFilter) {
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;(vectorStore as any).filter = retrieverConfig.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -186,7 +186,7 @@ class Supabase_VectorStores implements INode {
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const vectorStore = await SupabaseVectorStore.fromExistingIndex(embeddings, obj)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore, obj.filter)
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}
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}
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@ -119,6 +119,9 @@ class Supabase_Existing_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (supabaseMetadataFilter) {
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;(vectorStore as any).filter = obj.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -272,6 +272,9 @@ class Vectara_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (vectaraMetadataFilter) {
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;(vectorStore as any).filter = vectaraFilter.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -127,6 +127,9 @@ class VectaraExisting_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (vectaraMetadataFilter) {
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;(vectorStore as any).filter = vectaraFilter.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -1,11 +1,19 @@
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import { INodeData } from '../../src'
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import { VectorStore } from '@langchain/core/vectorstores'
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export const resolveVectorStoreOrRetriever = (nodeData: INodeData, vectorStore: any) => {
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export const resolveVectorStoreOrRetriever = (
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nodeData: INodeData,
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vectorStore: VectorStore,
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metadataFilter?: string | object | undefined
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) => {
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const output = nodeData.outputs?.output as string
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const searchType = nodeData.outputs?.searchType as string
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const topK = nodeData.inputs?.topK as string
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const k = topK ? parseFloat(topK) : 4
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// If it is already pre-defined in lc_kwargs, then don't pass it again
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const filter = vectorStore?.lc_kwargs?.filter ? undefined : metadataFilter
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if (output === 'retriever') {
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if ('mmr' === searchType) {
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const fetchK = nodeData.inputs?.fetchK as string
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@ -15,6 +23,7 @@ export const resolveVectorStoreOrRetriever = (nodeData: INodeData, vectorStore:
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return vectorStore.asRetriever({
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searchType: 'mmr',
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k: k,
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filter,
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searchKwargs: {
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fetchK: f,
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lambda: l
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@ -22,10 +31,11 @@ export const resolveVectorStoreOrRetriever = (nodeData: INodeData, vectorStore:
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})
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} else {
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// "searchType" is "similarity"
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return vectorStore.asRetriever(k)
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return vectorStore.asRetriever(k, filter)
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}
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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;(vectorStore as any).filter = filter
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return vectorStore
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}
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}
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@ -114,6 +114,13 @@ class Weaviate_VectorStores implements INode {
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type: 'number',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Weaviate Search Filter',
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name: 'weaviateFilter',
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type: 'json',
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additionalParams: true,
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optional: true
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}
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]
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addMMRInputParams(this.inputs)
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@ -203,6 +210,7 @@ class Weaviate_VectorStores implements INode {
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const weaviateTextKey = nodeData.inputs?.weaviateTextKey as string
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const weaviateMetadataKeys = nodeData.inputs?.weaviateMetadataKeys as string
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const embeddings = nodeData.inputs?.embeddings as Embeddings
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let weaviateFilter = nodeData.inputs?.weaviateFilter
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const weaviateApiKey = getCredentialParam('weaviateApiKey', credentialData, nodeData)
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@ -223,10 +231,13 @@ class Weaviate_VectorStores implements INode {
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if (weaviateTextKey) obj.textKey = weaviateTextKey
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if (weaviateMetadataKeys) obj.metadataKeys = JSON.parse(weaviateMetadataKeys.replace(/\s/g, ''))
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if (weaviateFilter) {
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weaviateFilter = typeof weaviateFilter === 'object' ? weaviateFilter : JSON.parse(weaviateFilter)
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}
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const vectorStore = await WeaviateStore.fromExistingIndex(embeddings, obj)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore, weaviateFilter)
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}
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}
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@ -165,7 +165,7 @@ class Zep_VectorStores implements INode {
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const vectorStore = await ZepExistingVS.fromExistingIndex(embeddings, zepConfig)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore, zepConfig.filter)
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}
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}
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@ -125,6 +125,9 @@ class Zep_Existing_VectorStores implements INode {
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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if (zepMetadataFilter) {
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;(vectorStore as any).filter = zepConfig.filter
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}
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return vectorStore
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}
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return vectorStore
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@ -131,7 +131,7 @@ class Zep_CloudVectorStores implements INode {
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}
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zepConfig.client = await ZepClient.init(zepConfig.apiKey)
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const vectorStore = await ZepExistingVS.init(zepConfig)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore, zepConfig.filter)
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}
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}
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