HelixDB is an open source database designed to unify multiple data storage paradigms into a single platform tailored for AI-driven applications. It combines graph and vector data models, allowing developers to manage relationships and embeddings within the same system without relying on separate services. HelixDB is built from scratch in Rust and uses LMDB as its storage engine, enabling high performance and low-latency query execution. HelixDB also supports additional data formats such as key-value, document, and relational data, making it flexible for a wide range of backend architectures. A central feature of the project is its custom query language, HelixQL, which is fully type-safe and compiled to ensure reliability and correctness in production environments. HelixDB includes built-in capabilities for embeddings, vector search, keyword search, and graph traversal, which are particularly useful for retrieval-augmented generation and agent-based systems.
Features
- Unified graph and vector data model for AI-centric workloads
- Built-in embedding generation without external preprocessing
- Native support for vector search, keyword search, and graph traversal
- Type-safe HelixQL query language with compiled execution
- Ultra-low latency powered by Rust and LMDB storage engine
- Secure-by-default access through compiled query interfaces