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>

ts/packages/base/src/schema/messages.ts

@@ -113,6 +113,18 @@ export interface GraphEmbeddingsResponse {
   error?: TgError;
 }
 
+// Document embeddings query
+export interface DocumentEmbeddingsRequest {
+  vectors: number[][];
+  limit?: number;
+  collection?: string;
+}
+
+export interface DocumentEmbeddingsResponse {
+  chunks: Array<{ chunkId: string; score: number }>;
+  error?: TgError;
+}
+
 // Config
 export type ConfigOperation = "get" | "list" | "delete" | "put" | "config";