Feature/Indexing (#1802)

* indexing

* fix for multiple files upsert

* fix default Postgres port

* fix SQLite node description

* add MySQLRecordManager node

* fix MySQL unique index

* add upsert history

* update jsx ui

* lint-fix

* update dialog details

* update llamaindex pinecone

---------

Co-authored-by: chungyau97 <chungyau97@gmail.com>

packages/components/nodes/vectorstores/Astra/Astra.ts

@@ -2,7 +2,7 @@ import { flatten } from 'lodash'
 import { Embeddings } from '@langchain/core/embeddings'
 import { Document } from '@langchain/core/documents'
 import { AstraDBVectorStore, AstraLibArgs } from '@langchain/community/vectorstores/astradb'
-import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData } from '../../../src/utils'
 import { addMMRInputParams, resolveVectorStoreOrRetriever } from '../VectorStoreUtils'
 
@@ -101,7 +101,7 @@ class Astra_VectorStores implements INode {
 
     //@ts-ignore
     vectorStoreMethods = {
-        async upsert(nodeData: INodeData, options: ICommonObject): Promise<void> {
+        async upsert(nodeData: INodeData, options: ICommonObject): Promise<Partial<IndexingResult>> {
             const docs = nodeData.inputs?.document as Document[]
             const embeddings = nodeData.inputs?.embeddings as Embeddings
             const vectorDimension = nodeData.inputs?.vectorDimension as number
@@ -142,6 +142,7 @@ class Astra_VectorStores implements INode {
 
             try {
                 await AstraDBVectorStore.fromDocuments(finalDocs, embeddings, astraConfig)
+                return { numAdded: finalDocs.length, addedDocs: finalDocs }
             } catch (e) {
                 throw new Error(e)
             }