Add local AI and Qdrant vector backends

.env.example

@@ -1,11 +1,33 @@
 # RA-H OS Configuration
 # Copy to .env.local: cp .env.example .env.local
 
-# OpenAI API Key (optional)
-# Enables: auto-descriptions, smart tagging, semantic search
+# OpenAI API Key (optional, default supported AI path)
+# Enables: auto-descriptions, extraction summaries, edge inference, embeddings, and semantic search
 # Get one at: https://platform.openai.com/api-keys
 OPENAI_API_KEY=
 
+# AI profiles. Defaults keep RA-H on OpenAI plus sqlite-vec.
+LLM_PROFILE=openai
+# LLM_MODEL=gpt-4o-mini
+EMBEDDING_PROFILE=openai
+# EMBEDDING_MODEL=text-embedding-3-small
+# EMBEDDING_DIMENSIONS=1536
+VECTOR_BACKEND=sqlite-vec
+
+# Supported local profile: point RA-H at OpenAI-compatible local endpoints.
+# Example Ollama:
+# LLM_PROFILE=openai-compatible
+# LLM_BASE_URL=http://127.0.0.1:11434/v1
+# LLM_MODEL=qwen3:4b
+# EMBEDDING_PROFILE=openai-compatible
+# EMBEDDING_BASE_URL=http://127.0.0.1:11434/v1
+# EMBEDDING_MODEL=qwen3-embedding:0.6b
+# EMBEDDING_DIMENSIONS=1024
+#
+# Example Qdrant sidecar, only needed when sqlite-vec is unavailable or unreliable:
+# VECTOR_BACKEND=qdrant
+# QDRANT_URL=http://localhost:6333
+
 # Database/vector paths are auto-detected for macOS, Windows, and Linux.
 # Override only if you intentionally want a custom location.
 # SQLITE_DB_PATH=/absolute/path/to/rah.sqlite