trustgraph/ts/scripts/run-doc-embeddings-query.ts

import { run } from "../packages/flow/src/query/embeddings/qdrant-doc-service.js";

run().catch((err) => {
  console.error("Document embeddings query service failed:", err);
  process.exit(1);
});
feat: add query/retrieval FlowProcessor services and missing runner scripts Wire up the query and retrieval side of the pipeline so the agent can answer questions from stored knowledge: - Triples query service (FalkorDB) — all SPO pattern queries via NATS - Graph embeddings query service (Qdrant) — entity vector similarity - Document embeddings query service (Qdrant) — chunk vector similarity - Graph RAG service — full concept→entity→traverse→score→synthesize pipeline - Document RAG service — embed→find chunks→synthesize pipeline - Runner scripts for chunker, extractor, embeddings (missing from Phase 5) - Add DocumentEmbeddingsRequest/Response schema types - Add RAG prompt templates (extract-concepts, edge-scoring, synthesize) - Add graph/doc embeddings query topics to seed config + flow manager - Add all pipeline/query/retrieval services to docker-compose - 8 new runner scripts, 8 new pnpm script aliases Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> 2026-04-07 01:05:54 -05:00			`import { run } from "../packages/flow/src/query/embeddings/qdrant-doc-service.js";`

			`run().catch((err) => {`
			`console.error("Document embeddings query service failed:", err);`
			`process.exit(1);`
			`});`