
GitHub Tools
TurboVec: The Vector Index That Fits 10M Docs in 4GB and Searches Faster
Imagine storing 10 million documents that need instant semantic search. FAISS wants 31 GB of RAM. TurboVec does it in 4 GB — and searches faster. Not magic. Just solid Rust engineering.
·1 min·1·Intermediate
