HelixDB
An open-source graph-vector database built in Rust that unifies application data, vectors, and graphs for AI applications.
What is HelixDB?
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.
Overview
HelixDB is an open-source graph-vector database built from scratch in Rust.
Use Cases
Best For
- Building Retrieval-Augmented Generation (RAG) applications with integrated vector search, keyword search, and graph traversal capabilities.
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
