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Feature/seq agents (#2798)

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* update build functions

* sequential agents

* update langchain to 0.2, added sequential agent nodes

* add marketplace templates

* update howto wordings

* Merge branch 'main' into feature/Seq-Agents

# Conflicts:
#	pnpm-lock.yaml

* update deprecated functions and add new sequential nodes

* add marketplace templates

* update marketplace templates, add structured output to llm node

* add multi agents template

* update llm node with bindmodels

* update cypress version

* update templates sticky note wordings

* update tool node to include human in loop action

* update structured outputs error from models

* update cohere package to resolve google genai pipeThrough bug

* update mistral package version, added message reconstruction before invoke seq agent

* add HITL to agent

* update state messages restructuring

* update load and split methods for s3 directory
This commit is contained in:
Henry Heng
2024-07-22 17:46:14 +01:00
committed by GitHub
parent 34d0e4302c
commit bca4de0c63
152 changed files with 55307 additions and 35236 deletions
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packages/components/nodes/vectorstores/Pinecone/Pinecone.ts
+3 -2
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@@ -3,6 +3,7 @@ import { Pinecone, PineconeConfiguration } from '@pinecone-database/pinecone'
import { PineconeStoreParams, PineconeStore } from '@langchain/pinecone'
import { Embeddings } from '@langchain/core/embeddings'
import { Document } from '@langchain/core/documents'
import { VectorStore } from '@langchain/core/vectorstores'
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { addMMRInputParams, resolveVectorStoreOrRetriever } from '../VectorStoreUtils'
@@ -162,7 +163,7 @@ class Pinecone_VectorStores implements INode {
try {
if (recordManager) {
const vectorStore = await PineconeStore.fromExistingIndex(embeddings, obj)
const vectorStore = (await PineconeStore.fromExistingIndex(embeddings, obj)) as unknown as VectorStore
await recordManager.createSchema()
const res = await index({
docsSource: finalDocs,
@@ -211,7 +212,7 @@ class Pinecone_VectorStores implements INode {
obj.filter = metadatafilter
}
const vectorStore = await PineconeStore.fromExistingIndex(embeddings, obj)
const vectorStore = (await PineconeStore.fromExistingIndex(embeddings, obj)) as unknown as VectorStore
return resolveVectorStoreOrRetriever(nodeData, vectorStore, obj.filter)
}