9df6c67a29
modified: config.py modified: docker-compose.yml modified: requirements.txt modified: services/rag_service.py
30 lines
1.5 KiB
Plaintext
30 lines
1.5 KiB
Plaintext
# Copy this file to .env and fill in your values
|
|
|
|
# ── Flask ──────────────────────────────────────────────────────────────────────
|
|
SECRET_KEY=change-me-to-a-random-secret-string
|
|
FLASK_ENV=production
|
|
|
|
# ── Database (SQLite default — no change needed for single-instance) ───────────
|
|
# DATABASE_URI=sqlite:////app/app.db
|
|
|
|
# ── AI Provider ────────────────────────────────────────────────────────────────
|
|
# "lmstudio" → uses LM_STUDIO_URL below (default)
|
|
# "openai" → uses OPENAI_API_KEY below
|
|
AI_PROVIDER=lmstudio
|
|
|
|
# LM Studio (running externally, e.g. on the host machine)
|
|
# On Linux/Docker: use host.docker.internal to reach the host
|
|
LM_STUDIO_URL=http://host.docker.internal:1234
|
|
LM_STUDIO_MODEL=local-model
|
|
# Model used for RAG embeddings — can be the same model or a dedicated embedding model
|
|
LM_STUDIO_EMBEDDING_MODEL=local-model
|
|
|
|
# OpenAI (only needed when AI_PROVIDER=openai)
|
|
# OPENAI_API_KEY=sk-...
|
|
# OPENAI_MODEL=gpt-4o
|
|
|
|
# ── RAG tuning (optional) ──────────────────────────────────────────────────────
|
|
RAG_TOP_K=5
|
|
RAG_CHUNK_SIZE=500
|
|
RAG_CHUNK_OVERLAP=50
|