Show HN: OctaneDB – Fast, Open-Source Vector Database for Python
a day ago
- #vector-database
- #AI-ML
- #python
- OctaneDB is a high-performance Python vector database library, offering 10x faster performance than competitors like Pinecone, ChromaDB, and Qdrant.
- Features include sub-millisecond query response times, 3,000+ vectors/second insertion rate, and optimized memory usage with HDF5 compression.
- Supports multiple indexing methods: HNSW for ultra-fast approximate search and FlatIndex for exact similarity search.
- Comes with ChromaDB-compatible API for easy migration and automatic text-to-vector conversion using sentence-transformers.
- Offers GPU acceleration support (CUDA), batch processing, and multiple distance metrics (Cosine, Euclidean, Dot Product, etc.).
- Includes advanced metadata filtering with logical operators and batch search operations.
- Provides both in-memory and persistent file-based storage options, with HDF5 format for efficient compression.
- Simple installation via pip and intuitive API similar to ChromaDB, making it easy to integrate into existing projects.
- Benchmarks show superior performance in insert rates, search times, and memory usage compared to ChromaDB, Pinecone, and Qdrant.
- Ideal for AI/ML applications, document search, recommendation systems, image search, NLP applications, and research.