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Fidx – Local semantic search in one SQLite file, no LLM at query

Fidx is a local semantic search engine that combines BM25 full-text search with 768-dimensional vector embeddings, all stored in a single SQLite file. It requires no LLM calls during queries, only a single ONNX embedding pass, enabling millisecond-class queries on CPU. It can be used as a CLI, a private RAG retriever, or the search layer behind agent memory.

SourceHacker News AIAuthor: williamliu_ai
Fidx – Local semantic search in one SQLite file, no LLM at query
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Key points

  • Hybrid search: BM25 (FTS5) + 768-dim vector search fused via RRF, sub-second queries.
  • Single-file storage: documents, BM25 index, and vectors in one SQLite database.
  • CPU-only, no cloud, GPU, or API keys required.
  • Scoped search with named collections, JSON output for agents and RAG tools.

Highlights and analysis are generated automatically and may contain errors. Check the original source.