An open-source graph-vector database built in Rust that unifies application data, vectors, and graphs for AI applications.
HelixDB is an open-source graph-vector database built in Rust that consolidates multiple backend components for AI applications into a single platform. It combines graph, vector, key-value, document, and relational data models to eliminate the need for separate databases and application layers. This integration simplifies building applications that use AI, agents, or Retrieval-Augmented Generation (RAG).
Developers building AI applications, particularly those implementing agents or RAG systems who need a unified backend for multiple data models. It targets teams seeking to reduce infrastructure complexity by consolidating graph, vector, and traditional database needs.
Developers choose HelixDB for its all-in-one approach to AI backend infrastructure, eliminating the need to manage multiple databases and application layers. Its unique selling points include built-in MCP tools for agent data discovery, native embedding functions, and 100% type-safe HelixQL queries, all delivered with ultra-low latency through Rust and LMDB.
HelixDB is an open-source graph-vector database built from scratch in Rust.
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HelixDB combines graph, vector, key-value, document, and relational models in one platform, eliminating the need for multiple databases as highlighted in its philosophy to 'just use Helix' for AI applications.
Includes MCP tools for agent data discovery and an Embed function for direct text vectorization, reducing pre-processing steps for RAG systems, as stated in the key features.
Built in Rust with LMDB storage for ultra-low latency, and data is private by default with access only through compiled HelixQL queries, ensuring secure operations.
HelixQL provides 100% type safety, giving developers confidence in query execution, which is a core feature emphasized in the README for production reliability.
HelixQL is a new, non-standard query language that requires learning, posing a barrier for teams familiar with SQL or other established database interfaces.
As a newer project, HelixDB has fewer community resources, third-party integrations, and proven scalability compared to established databases, which may affect adoption in complex environments.
The AGPL license can impose restrictions on commercial use, potentially requiring paid support for enterprises, as noted in the commercial support section, which may deter some teams.