HelixDB – A graph database built on object storage

In plain words

HelixDB is an OLTP graph database built on object storage that combines graph queries, vector search, and full-text search in a single system. It is designed for developers building AI-driven applications that need to perform semantic searches and complex joins across related data without stitching together multiple databases. The product integrates graph, vector, and text capabilities natively to handle AI memory systems and similar workloads.

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, 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…

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  HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237

  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. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

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

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