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n8n-nodes-databricks

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Databricks node for n8n

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.handleLoadOperation = handleLoadOperation; const helpers_1 = require("../../../../../utils/helpers"); async function handleLoadOperation(context, args, embeddings, itemIndex) { var _a; const filter = (0, helpers_1.getMetadataFiltersValues)(context, itemIndex); const vectorStore = await args.getVectorStoreClient(context, undefined, embeddings, itemIndex); try { const prompt = context.getNodeParameter('prompt', itemIndex); const topK = context.getNodeParameter('topK', itemIndex, 4); const includeDocumentMetadata = context.getNodeParameter('includeDocumentMetadata', itemIndex, true); const embeddedPrompt = await embeddings.embedQuery(prompt); const docs = await vectorStore.similaritySearchVectorWithScore(embeddedPrompt, topK, filter); const serializedDocs = docs.map(([doc, score]) => { const document = { pageContent: doc.pageContent, ...(includeDocumentMetadata ? { metadata: doc.metadata } : {}), }; return { json: { document, score }, pairedItem: { item: itemIndex, }, }; }); (0, helpers_1.logAiEvent)(context, 'ai-vector-store-searched', { query: prompt }); return serializedDocs; } finally { (_a = args.releaseVectorStoreClient) === null || _a === void 0 ? void 0 : _a.call(args, vectorStore); } } //# sourceMappingURL=loadOperation.js.map