HelixDB: Blazing Fast Graph-Vector Database for RAG and AI

HelixDB is a Rust-based, open-source graph-vector database built for Retrieval Augmented Generation (RAG) and AI applications. Leveraging LMDB for storage, it boasts impressive speed, claiming to be 1000x faster than Neo4j and 100x faster than TigerGraph, while matching Qdrant's performance for vectors. It natively supports graph and vector data types, ensures ACID compliance, and offers a user-friendly CLI and SDKs (TypeScript and Python). The team is currently focused on expanding vector capabilities, enhancing the query language, and building a comprehensive test suite. Long-term plans include developing an in-house storage engine and networking protocols.