settings.py
- load .env via python-dotenv (override=False) so local runs and the RAG
keys work without `export`; production/docker env still wins.
- add 'rag' to INSTALLED_APPS.
- new RAG / AI provider block: OPENAI_API_KEY / OPENAI_BASE_URL (GapGPT)
/ OPENAI_CHAT_MODEL / OPENAI_VISION_MODEL / OPENAI_EMBEDDING_MODEL /
OPENAI_TIMEOUT_SECONDS, QDRANT_URL / QDRANT_API_KEY,
RAG_COLLECTION_NAME_TEMPLATE / RAG_GRADE_TITLE_OVERRIDES /
RAG_RETRIEVAL_TOP_K / RAG_FORCE_MOCK / RAG_ANSWER_CACHE_TTL.
- add 'rag_ingest' to DEFAULT_THROTTLE_RATES.
- under `manage.py test`: force RAG_FORCE_MOCK on and RAG_ANSWER_CACHE_TTL
to 0 so no test hits OpenAI/Qdrant or a warm cache.
urls.py
- mount rag.urls under /api/.
requirements.txt
- python-dotenv; openai, qdrant-client; pymupdf / pdf2image / pillow
(optional, only for PDF ingestion).
.env.example
- document the OPENAI_* / QDRANT_* / RAG_* keys, the discovered Qdrant
collection names, and the parked OPENAI_API_KEY_OPENAI_DIRECT slot
(no provider-switch logic by design).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
