ZeusDB Vector Database

What ZeusDB Vector Database is

ZeusDB Vector Database is a vector database for AI workloads such as semantic search, retrieval-augmented generation, and recommendations. Its free, self-hosted open-source plan provides a Python API and approximate nearest-neighbor search using HNSW graphs. Optional Product Quantization compresses vectors for more efficient memory use. The database supports metadata filtering and saving and reloading indexes, metadata, and quantized vectors; hybrid search is also listed. Published package wheels cover Linux on x86_64 and aarch64, macOS on Apple Silicon, and Windows on x86_64. The package page lists Python versions 3.10 through 3.14. LangChain and LlamaIndex are available integrations, with vector-store features including filtering and persistence; Hugging Face, Anthropic, OpenAI, and Semantic Kernel integrations are in development. ZeusDB describes a managed enterprise option with SSO, role-based access control, audit trails, encryption, backups, restore, observability, SLAs, and priority support, but says that edition is in development. The company says it was founded and launched its first site in 2012.