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 (RAG), 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 to reduce memory use. The database supports hybrid search, metadata filtering, and saving and reloading indexes, metadata, and quantized vectors. 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 stable packages that support vector-store features such as filtering and persistence. Hugging Face, Anthropic, OpenAI, and Semantic Kernel integrations are listed as in development. The open-source plan is community supported. ZeusDB also describes an enterprise option with managed deployment, SSO, role-based access control, audit trails, encryption, automated backups and restore, observability, SLAs, and priority support. However, the managed enterprise edition is in development. The company says it was founded and launched its first site in 2012.

Who it suits

It suits developers and teams building AI workloads who want a self-hosted vector database with a Python API. The enterprise feature set may interest organizations considering managed deployment, though that edition is in development.

Limits

The free plan is self-hosted and community supported. Managed deployment and enterprise features are described in the Enterprise plan, but the managed edition is in development.

Getting started

1. Visit the ZeusDB Vector Database website.
2. Choose the free Open Source plan.
3. Set up a self-hosted environment on a listed platform.
4. Use the Python API and select an available package wheel for your platform.
5. Connect LangChain or LlamaIndex if either fits your application.

Verdict

ZeusDB offers a free self-hosted option with search, filtering, persistence, and available LangChain and LlamaIndex integrations. The managed enterprise features are described, but the enterprise edition is still in development.