Vecsearch

Vecsearch is an all-in-one vector search library for ruby that uses a 4-bit (Q4_1) quantization of gte-tiny by using bert.cpp (a GGML implementation of BERT via FFI), and an in-process FAISS index.

Vecsearch embeds pre-built dynamic libraries for libbert and libggml, as well as a quantized model checkpoint for gte-tiny (total size: 14MB).

Currently only ARM64 macOS is supported, purely because I haven't bothered to build other dylibs yet. There is nothing difficult about this.

Usage

require 'vecsearch'

vs = Vecsearch.new
vs << "sharks with freaking laser beams"
vs << "hello"
vs << "the sky is green"

puts(vs.nearest("hey there")) # => "hello"

Bugs

Yes

Limitations / TODO

• I haven't got the mean-pooling part of gte-tiny working. It seems to work well enough without it but we should do that and assert that ours generates approximately the same embedding as the canonical model.
• Batching looks unimplemented in bert.cpp; it would be nice for prefilling the index.
• Add more builds for platforms other than darwin/amd64.
• Probably add a way to fetch an unquantized model, maybe other models entirely?