A production-minded Agentic RAG backend for informational guidance about Swiss immigration and administrative procedures, using only official Swiss government sources with evidence metadata.
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process.env. You'll be asked to provide them before it can run.PDF_ROOT— data/pdfs Root folder scanned recursively for PDFsCHROMA_PATH— data/chromadb Persistent ChromaDB storage pathCHROMA_COLLECTION— swiss_procedures ChromaDB collection nameOPENAI_EMBEDDING_MODEL— text-embedding-3-small Embedding modelOPENAI_API_KEY— Export in your shell before running ingestion. The .env.example file documents the expected variables for local setup.CHUNK_SIZE_WORDS— 600 Chunk size in wordsCHUNK_OVERLAP_WORDS— 100 Word overlap between adjacent chunksRETRIEVAL_TOP_K— 10 Default number of candidates returned by each retrieval methodRERANK_TOP_K— 5 Number of reranked chunks selected from merged candidatesOPENAI_GENERATION_MODEL— gpt-4o-mini OpenAI GPT model used for grounded answer generation[](https://m8ven.ai/mcp/ericp-swiss-lawyer-mcp-1ycx5v)