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https://github.com/farcasclaudiu/Flowise.git
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Document Store - Phase 2 (#2912)
* Document Store - Phase 2 * Adding additional columns for vector store config, document store phase 2 * Adding additional columns for vector store config, document store phase 2 * Document Store - Phase 2 - Upsert and Query * ux cleanup * retrieval settings and more ux changes * adding MMR params to execution * Making the upsert process async. * add upsert history changes * making the searchParams dynamic * removing unnecessary params * add ability to delete data from vector store * update margin for vector store query * adding option to save config in the retrieval playground * adding chunk number for query return chunks * Adding a Document Store node in the VectorStore category * update doc store status, ui touchup --------- Co-authored-by: Henry <hzj94@hotmail.com>
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@@ -163,6 +163,35 @@ class Elasticsearch_VectorStores implements INode {
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} catch (e) {
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throw new Error(e)
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}
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},
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async delete(nodeData: INodeData, ids: string[], options: ICommonObject): Promise<void> {
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const indexName = nodeData.inputs?.indexName as string
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const embeddings = nodeData.inputs?.embeddings as Embeddings
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const similarityMeasure = nodeData.inputs?.similarityMeasure as string
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const recordManager = nodeData.inputs?.recordManager
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const endPoint = getCredentialParam('endpoint', credentialData, nodeData)
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const cloudId = getCredentialParam('cloudId', credentialData, nodeData)
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const elasticSearchClientArgs = prepareClientArgs(endPoint, cloudId, credentialData, nodeData, similarityMeasure, indexName)
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const vectorStore = new ElasticVectorSearch(embeddings, elasticSearchClientArgs)
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try {
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if (recordManager) {
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const vectorStoreName = indexName
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await recordManager.createSchema()
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;(recordManager as any).namespace = (recordManager as any).namespace + '_' + vectorStoreName
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const keys: string[] = await recordManager.listKeys({})
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await vectorStore.delete({ ids: keys })
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await recordManager.deleteKeys(keys)
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} else {
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await vectorStore.delete({ ids })
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}
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} catch (e) {
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throw new Error(e)
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}
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}
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}
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