dangkhoasdc/awesome-vector-database

Organizes approximate nearest neighbor (ANN) search libraries, hosted vector databases, and retrieval benchmarks across multiple programming languages and deployment models—from lightweight libraries like Faiss and pgvector to managed services like Pinecone and Weaviate. Covers both classical ANN algorithms (HNSW, LSH, quantization) and modern hybrid search approaches combining vector, full-text, and semantic retrieval. Includes comparative benchmarks (ANN-Benchmarks, Big-ANN), research papers on billion-scale indexing, and foundational resources for understanding approximate similarity search at scale.

334 stars.