RAG & Knowledge
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AI-native database for hybrid search across dense, sparse, and tensor vectors plus full text
★ 4.7k starsApache-2.0
View guide →An OLTP graph database with native vector and full-text search, built in Rust on object storage.
helix-db is an open-source rag & knowledge project by HelixDB (HelixDB/helix-db on GitHub). It has 6,117 GitHub stars and 375 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Sketch the entities and relationships you need, and note where vector similarity or keyword search must combine with graph traversal.
Install the helix CLI with the official install script.
Run helix init to scaffold helix.toml and an example query, and configure whether local data stays in memory or persists to disk.
Start the local dev instance and run your first query from the CLI or your app's SDK.
Model a labeled property graph, run approximate nearest-neighbor vector search prefiltered by graph traversal, and BM25 keyword search over node and edge properties.
Built for transactional workloads with ACID guarantees; on Helix Cloud a single writer commits every transaction and readers auto-scale.
Durable data lives on object storage rather than a single local disk, separating storage from compute.
Query the graph with a Cypher-inspired language from Rust, TypeScript, Go or Python SDKs.
helix start dev serves a local instance on http://localhost:6969, and an embedded mode runs HelixDB inside your own process without a server.
The README includes a path for letting an AI agent scaffold and build your Helix app for you (helix chef).
Clone HelixDB if you want the source; most users install the CLI in the next step.
git clone https://github.com/HelixDB/helix-db.git
cd helix-dbInstall the helix command-line tool on macOS or Linux.
curl -sSL "https://install.helix-db.com" | bashCreate a project, start the local instance, and run the generated example query.
mkdir my-helix-app && cd my-helix-app
helix init local
helix start dev
helix query dev --file examples/request.jsonHelixDB is maintained by the HelixDB team, with docs at docs.helix-db.com and a managed Helix Cloud offering.
The database is open source under Apache-2.0 and free to self-host; Helix Cloud is the paid managed deployment.
No key is needed for local development. You only need an account if you choose Helix Cloud or call external embedding models.
Neo4j is a mature graph database and you typically add a separate vector store; HelixDB combines graph, vector and full-text search in one Rust engine designed for AI workloads.
Install the CLI, run helix init local, helix start dev, and execute the example query.
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