#cplusplus #ann_search #embedded_database #rag #vector_search #vectordb

Zvec is a lightweight, open-source vector database built on Alibaba's Proxima engine that searches billions of vectors in milliseconds. You can install it instantly with a single command and start using it within seconds—no servers or complex configuration needed. It supports both dense and sparse vector embeddings, hybrid search combining semantic similarity with filters, and runs anywhere your code runs, from notebooks to edge devices. The key benefit is that you get production-grade, low-latency similarity search with minimal setup, making it ideal for AI applications like semantic search, recommendation systems, and retrieval-augmented generation without the overhead of traditional database infrastructure.

https://github.com/alibaba/zvec

#python #ann #avx512 #embedding #embeddings #faiss #nearest_neighbor #neon #python #quant #quantization #rag #rust #simd #turboquant #vector_search

turbovec is a fast, local vector search tool that stores large embedding sets in much less memory, can search faster than FAISS in many cases, and works with Python and Rust. It helps you build private RAG systems because data stays on your machine, while online adding, filtering, and stable IDs make it easier to grow, control, and update your index without retraining or rebuilding.

https://github.com/RyanCodrai/turbovec