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Code Cleanup - unnecessary document creation in Pinecone and Astra Vector Stores (#2124)

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code cleanup
This commit is contained in:
Vinod Kiran
2024-04-09 20:04:29 +05:30
committed by GitHub
parent 057e056257
commit 1129782758
2 changed files with 0 additions and 18 deletions
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packages/components/nodes/vectorstores/Astra/Astra.ts
-9
View File
@@ -150,7 +150,6 @@ class Astra_VectorStores implements INode {
} }
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> { async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const docs = nodeData.inputs?.document as Document[]
const embeddings = nodeData.inputs?.embeddings as Embeddings const embeddings = nodeData.inputs?.embeddings as Embeddings
const vectorDimension = nodeData.inputs?.vectorDimension as number const vectorDimension = nodeData.inputs?.vectorDimension as number
const similarityMetric = nodeData.inputs?.similarityMetric as 'cosine' | 'euclidean' | 'dot_product' | undefined const similarityMetric = nodeData.inputs?.similarityMetric as 'cosine' | 'euclidean' | 'dot_product' | undefined
@@ -180,14 +179,6 @@ class Astra_VectorStores implements INode {
} }
} }
const flattenDocs = docs && docs.length ? flatten(docs) : []
const finalDocs = []
for (let i = 0; i < flattenDocs.length; i += 1) {
if (flattenDocs[i] && flattenDocs[i].pageContent) {
finalDocs.push(new Document(flattenDocs[i]))
}
}
const vectorStore = await AstraDBVectorStore.fromExistingIndex(embeddings, astraConfig) const vectorStore = await AstraDBVectorStore.fromExistingIndex(embeddings, astraConfig)
return resolveVectorStoreOrRetriever(nodeData, vectorStore) return resolveVectorStoreOrRetriever(nodeData, vectorStore)
packages/components/nodes/vectorstores/Pinecone/Pinecone.ts
-9
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@@ -165,7 +165,6 @@ class Pinecone_VectorStores implements INode {
const index = nodeData.inputs?.pineconeIndex as string const index = nodeData.inputs?.pineconeIndex as string
const pineconeNamespace = nodeData.inputs?.pineconeNamespace as string const pineconeNamespace = nodeData.inputs?.pineconeNamespace as string
const pineconeMetadataFilter = nodeData.inputs?.pineconeMetadataFilter const pineconeMetadataFilter = nodeData.inputs?.pineconeMetadataFilter
const docs = nodeData.inputs?.document as Document[]
const embeddings = nodeData.inputs?.embeddings as Embeddings const embeddings = nodeData.inputs?.embeddings as Embeddings
const credentialData = await getCredentialData(nodeData.credential ?? '', options) const credentialData = await getCredentialData(nodeData.credential ?? '', options)
@@ -179,14 +178,6 @@ class Pinecone_VectorStores implements INode {
const pineconeIndex = client.Index(index) const pineconeIndex = client.Index(index)
const flattenDocs = docs && docs.length ? flatten(docs) : []
const finalDocs = []
for (let i = 0; i < flattenDocs.length; i += 1) {
if (flattenDocs[i] && flattenDocs[i].pageContent) {
finalDocs.push(new Document(flattenDocs[i]))
}
}
const obj: PineconeStoreParams = { const obj: PineconeStoreParams = {
pineconeIndex pineconeIndex
} }