Add local AI and Qdrant vector backends

LLAMA-CPP-LOCAL-PROFILE.md

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+# llama.cpp Local Profile
+
+llama.cpp is the direct runtime path for users who want explicit model file and server control.
+
+Run separate servers for chat and embeddings:
+
+```bash
+llama-server -m /models/qwen3-4b.gguf --port 8080
+llama-server -m /models/qwen3-embedding-0.6b.gguf --embedding --port 8081
+```
+
+Configure RA-H:
+
+```bash
+LLM_PROFILE=openai-compatible
+LLM_BASE_URL=http://127.0.0.1:8080/v1
+LLM_MODEL=qwen3-4b
+
+EMBEDDING_PROFILE=openai-compatible
+EMBEDDING_BASE_URL=http://127.0.0.1:8081/v1
+EMBEDDING_MODEL=qwen3-embedding-0.6b
+EMBEDDING_DIMENSIONS=1024
+```
+
+Validate:
+
+```bash
+npm run doctor:local-ai
+```
+
+RA-H does not download GGUF files for you. Install llama.cpp, place model files on disk, start the server processes, then point RA-H at the `/v1` endpoints.