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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>
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"llm:ollama": "tsx scripts/run-ollama.ts",
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"pdf-decoder": "tsx scripts/run-pdf-decoder.ts",
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"triples-store": "tsx scripts/run-triples-store.ts",
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"graph-embeddings-store": "tsx scripts/run-graph-embeddings-store.ts"
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"graph-embeddings-store": "tsx scripts/run-graph-embeddings-store.ts",
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"chunker": "tsx scripts/run-chunker.ts",
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"extractor": "tsx scripts/run-extractor.ts",
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"embeddings": "tsx scripts/run-embeddings.ts",
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"triples-query": "tsx scripts/run-triples-query.ts",
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"graph-embeddings-query": "tsx scripts/run-graph-embeddings-query.ts",
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"doc-embeddings-query": "tsx scripts/run-doc-embeddings-query.ts",
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"graph-rag": "tsx scripts/run-graph-rag.ts",
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"document-rag": "tsx scripts/run-document-rag.ts"
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},
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"devDependencies": {
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"nats": "^2.29.0",
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