lee101/gobed

a library for fast static text embedding inference in Go

Go library for embedded vector search and semantic embeddings using llama.cpp

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Go Open Source, Distributed, Simple and efficient text/vector Search Engine

Two-tier hybrid local search for Rust and the fsfs CLI: sub-millisecond first-pass results from a Potion/Model2Vec fast tier, then MiniLM quality refinement. Fuses native pure-Rust BM25 (Quill engine) and semantic vector search with Reciprocal Rank Fusion. Progressive iterator API, f16 SIMD vector index, feature-gated compilation.

From scratch search engine in Go - no Elasticsearch, no Lucene, just LSM trees, and hybrid ranking

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)