A private local AI email agent named Llamail uses a hybrid retrieval approach combining semantic search via ChromaDB embeddings and exact keyword search via SQLite FTS5 to enable efficient and accurate email search and question answering on a personal mailbox of 18,000+ emails. The system merges normalized scores from both search methods with weighted fusion to balance conceptual understanding and exact token matching, providing fast (~3 seconds for search, ~7 seconds for Q&A) and relevant results on consumer hardware. The agent supports natural language queries and follow-ups via Telegram, with local LLM calls for answer generation based on retrieved email context.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
