HelixDB – Open-source vector-graph database for AI applications (Rust)

In plain words

HelixDB is an open-source vector-graph database written in Rust that combines vector and graph data types natively for AI applications. It is designed for developers building AI systems that require both similarity searches and relationship queries, such as retrieval-augmented generation. The database aims to support both types of queries without sacrificing performance by integrating vector and graph storage in a single system.

written from the facts on this page · September 2026

From the sources

HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage. - HelixDB/helix-db

In the maker’s words, at launch

Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG.…

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  HelixDBFeb 2026 · helix-db.com · ▲105

  An open-source OLTP graph-vector database built in Rust.

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  HelixDB – A graph database built on object storageJun 2026 · github.com · ▲159

  Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…

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  A distributed, fast open-source graph database featuring horizontal scalability and high availability - GitHub - vesoft-inc/nebula: A distributed, fast open-source graph database featuring horizontal scalability and high availability

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