import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { Chroma } from 'langchain/vectorstores/chroma' import { Embeddings } from 'langchain/embeddings/base' import { Document } from 'langchain/document' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { flatten } from 'lodash' import { ChromaExtended } from './core' class ChromaUpsert_VectorStores implements INode { label: string name: string version: number description: string type: string icon: string category: string baseClasses: string[] inputs: INodeParams[] credential: INodeParams outputs: INodeOutputsValue[] constructor() { this.label = 'Chroma Upsert Document' this.name = 'chromaUpsert' this.version = 1.0 this.type = 'Chroma' this.icon = 'chroma.svg' this.category = 'Vector Stores' this.description = 'Upsert documents to Chroma' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', description: 'Only needed if you have chroma on cloud services with X-Api-key', optional: true, credentialNames: ['chromaApi'] } this.inputs = [ { label: 'Document', name: 'document', type: 'Document', list: true }, { label: 'Embeddings', name: 'embeddings', type: 'Embeddings' }, { label: 'Collection Name', name: 'collectionName', type: 'string' }, { label: 'Chroma URL', name: 'chromaURL', type: 'string', optional: true }, { label: 'Top K', name: 'topK', description: 'Number of top results to fetch. Default to 4', placeholder: '4', type: 'number', additionalParams: true, optional: true } ] this.outputs = [ { label: 'Chroma Retriever', name: 'retriever', baseClasses: this.baseClasses }, { label: 'Chroma Vector Store', name: 'vectorStore', baseClasses: [this.type, ...getBaseClasses(Chroma)] } ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const collectionName = nodeData.inputs?.collectionName as string const docs = nodeData.inputs?.document as Document[] const embeddings = nodeData.inputs?.embeddings as Embeddings const chromaURL = nodeData.inputs?.chromaURL as string const output = nodeData.outputs?.output as string const topK = nodeData.inputs?.topK as string const k = topK ? parseFloat(topK) : 4 const credentialData = await getCredentialData(nodeData.credential ?? '', options) const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData) const flattenDocs = docs && docs.length ? flatten(docs) : [] const finalDocs = [] for (let i = 0; i < flattenDocs.length; i += 1) { finalDocs.push(new Document(flattenDocs[i])) } const obj: { collectionName: string url?: string chromaApiKey?: string } = { collectionName } if (chromaURL) obj.url = chromaURL if (chromaApiKey) obj.chromaApiKey = chromaApiKey const vectorStore = await ChromaExtended.fromDocuments(finalDocs, embeddings, obj) if (output === 'retriever') { const retriever = vectorStore.asRetriever(k) return retriever } else if (output === 'vectorStore') { ;(vectorStore as any).k = k return vectorStore } return vectorStore } } module.exports = { nodeClass: ChromaUpsert_VectorStores }