import { Embeddings } from '@langchain/core/embeddings' import weaviate, { WeaviateClient, ApiKey } from 'weaviate-ts-client' import { WeaviateLibArgs, WeaviateStore } from '@langchain/community/vectorstores/weaviate' import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' class Weaviate_Existing_VectorStores implements INode { label: string name: string version: number description: string type: string icon: string category: string badge: string baseClasses: string[] inputs: INodeParams[] credential: INodeParams outputs: INodeOutputsValue[] constructor() { this.label = 'Weaviate Load Existing Index' this.name = 'weaviateExistingIndex' this.version = 1.0 this.type = 'Weaviate' this.icon = 'weaviate.png' this.category = 'Vector Stores' this.description = 'Load existing index from Weaviate (i.e: Document has been upserted)' this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'] this.badge = 'DEPRECATING' this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', description: 'Only needed when using Weaviate cloud hosted', optional: true, credentialNames: ['weaviateApi'] } this.inputs = [ { label: 'Embeddings', name: 'embeddings', type: 'Embeddings' }, { label: 'Weaviate Scheme', name: 'weaviateScheme', type: 'options', default: 'https', options: [ { label: 'https', name: 'https' }, { label: 'http', name: 'http' } ] }, { label: 'Weaviate Host', name: 'weaviateHost', type: 'string', placeholder: 'localhost:8080' }, { label: 'Weaviate Index', name: 'weaviateIndex', type: 'string', placeholder: 'Test' }, { label: 'Weaviate Text Key', name: 'weaviateTextKey', type: 'string', placeholder: 'text', optional: true, additionalParams: true }, { label: 'Weaviate Metadata Keys', name: 'weaviateMetadataKeys', type: 'string', rows: 4, placeholder: `["foo"]`, optional: true, additionalParams: 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: 'Weaviate Retriever', name: 'retriever', baseClasses: this.baseClasses }, { label: 'Weaviate Vector Store', name: 'vectorStore', baseClasses: [this.type, ...getBaseClasses(WeaviateStore)] } ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const weaviateScheme = nodeData.inputs?.weaviateScheme as string const weaviateHost = nodeData.inputs?.weaviateHost as string const weaviateIndex = nodeData.inputs?.weaviateIndex as string const weaviateTextKey = nodeData.inputs?.weaviateTextKey as string const weaviateMetadataKeys = nodeData.inputs?.weaviateMetadataKeys as string const embeddings = nodeData.inputs?.embeddings as Embeddings 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 weaviateApiKey = getCredentialParam('weaviateApiKey', credentialData, nodeData) const clientConfig: any = { scheme: weaviateScheme, host: weaviateHost } if (weaviateApiKey) clientConfig.apiKey = new ApiKey(weaviateApiKey) const client: WeaviateClient = weaviate.client(clientConfig) const obj: WeaviateLibArgs = { client, indexName: weaviateIndex } if (weaviateTextKey) obj.textKey = weaviateTextKey if (weaviateMetadataKeys) obj.metadataKeys = JSON.parse(weaviateMetadataKeys.replace(/\s/g, '')) const vectorStore = await WeaviateStore.fromExistingIndex(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: Weaviate_Existing_VectorStores }