Add local AI and Qdrant vector backends

QDRANT-DEPLOYMENT.md

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+# Qdrant Deployment
+
+Qdrant is the optional vector-search sidecar for environments where sqlite-vec is unavailable or unreliable.
+
+Use Qdrant for:
+
+- Alpine/musl Docker images
+- Windows ARM64
+- Linux ARM64 setups where sqlite-vec has not been validated
+- any setup where sqlite-vec cannot be installed or loaded reliably
+
+Qdrant is not required for local embeddings. The embedding model creates vectors; the vector backend stores and searches them.
+
+## Start Qdrant
+
+```bash
+docker compose up -d qdrant
+```
+
+Configure RA-H:
+
+```bash
+VECTOR_BACKEND=qdrant
+QDRANT_URL=http://localhost:6333
+```
+
+Validate:
+
+```bash
+npm run doctor:local-ai
+```
+
+## Rebuild
+
+Switching from sqlite-vec to Qdrant, or changing embedding provider/model/dimensions, requires rebuilding vector indexes:
+
+```bash
+npm run rebuild:embeddings
+```
+
+If existing Qdrant collections have the wrong dimensions and you intentionally want to recreate them from SQLite source data:
+
+```bash
+QDRANT_RECREATE_COLLECTIONS=true npm run rebuild:embeddings
+```
+
+Nodes, edges, source text, chunks, and metadata remain in SQLite. Qdrant can be deleted and rebuilt from SQLite-derived source data.