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Download .env.example from dashhdata/doc-intelligence-rag: direct link, hf CLI and curl.
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https://huggingface.co/spaces/dashhdata/doc-intelligence-rag/resolve/main/.env.example
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hf download hf://spaces/dashhdata/doc-intelligence-rag/.env.example
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curl -L -o .env.example https://huggingface.co/spaces/dashhdata/doc-intelligence-rag/resolve/main/.env.example
710 Bytes
| # ===== 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 | |