FHERAGDemo is a small Python GitHub project by rauleteee (created Jun 25, 2026, last pushed Sep 30, 2026; 0 stars, 0 forks) that does privacy-preserving vector search for RAG using fully homomorphic encryption. Document embeddings are encrypted client-side with CKKS via TenSEAL/Microsoft SEAL, so the server computes similarity scores (a dot product) on ciphertext without holding the secret key or seeing any plaintext embedding, query or score. It includes a ./run.sh learn demo, an animated web UI explainer, and separate client/server modes over HTTP, and it is inspired by DataTalks.Club's LLM Zoomcamp Module 2.
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