doc-intelligence-rag / .env.example
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# ===== Qdrant (vector DB) =====
QDRANT_URL=https://your-cluster-id.region-0.aws.cloud.qdrant.io
QDRANT_API_KEY=your-qdrant-api-key
QDRANT_COLLECTION=documents
# ===== MongoDB (metadata store) =====
MONGODB_URI=mongodb+srv://user:password@cluster0.xxxxx.mongodb.net/?appName=Cluster0
MONGODB_DB=hemantsatishjadhav06_db_user
# ===== LLM via OpenRouter (OpenAI-compatible) =====
OPENROUTER_API_KEY=sk-or-v1-xxxxxxxx
OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
OPENROUTER_MODEL=anthropic/claude-sonnet-4.6
# ===== Embeddings (local ONNX via fastembed — no torch) =====
EMBEDDING_MODEL=BAAI/bge-small-en-v1.5
EMBEDDING_DIM=384
# ===== Retrieval / chunking =====
CHUNK_SIZE=900
CHUNK_OVERLAP=150
TOP_K=5