Flowise/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch_Upsert.ts

58 lines
2.1 KiB
TypeScript

import { ICommonObject, INode, INodeData } from '../../../src/Interface'
import { Embeddings } from 'langchain/embeddings/base'
import { Document } from 'langchain/document'
import { ElasticClientArgs, ElasticVectorSearch } from 'langchain/vectorstores/elasticsearch'
import { flatten } from 'lodash'
import { ElasticSearchBase } from './ElasticSearchBase'
import { VectorStore } from 'langchain/vectorstores/base'
class ElasicsearchUpsert_VectorStores extends ElasticSearchBase implements INode {
constructor() {
super()
this.label = 'Elasticsearch Upsert Document'
this.name = 'ElasticsearchUpsert'
this.version = 1.0
this.description = 'Upsert documents to Elasticsearch'
this.inputs.unshift({
label: 'Document',
name: 'document',
type: 'Document',
list: true
})
}
async constructVectorStore(
embeddings: Embeddings,
elasticSearchClientArgs: ElasticClientArgs,
docs: Document<Record<string, any>>[]
): Promise<VectorStore> {
const vectorStore = new ElasticVectorSearch(embeddings, elasticSearchClientArgs)
await vectorStore.addDocuments(docs)
return vectorStore
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const docs = nodeData.inputs?.document as Document[]
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]))
}
}
// The following code is a workaround for a bug (Langchain Issue #1589) in the underlying library.
// Store does not support object in metadata and fail silently
finalDocs.forEach((d) => {
delete d.metadata.pdf
delete d.metadata.loc
})
// end of workaround
return super.init(nodeData, _, options, finalDocs)
}
}
module.exports = { nodeClass: ElasicsearchUpsert_VectorStores }