Backed by Y Combinator
Backed by NVIDIAThe Fastest Graph-Vector Database
Built to Scale
Feed your agents more relevant context with the fastest and most scalable graph-vector database, built in Rust.
Getting Started
Terminal
>$ curl -sSL "https://install.helix-db.com" | bash $ helix install
queries.hx
>$ helix init --path
POST localhost:6969
>curl -X POST http://localhost:6969 -H
Install HelixDB
Get started with HelixDB in minutes, install the CLI and then install the database.
Terminal
>$ curl -sSL "https://install.helix-db.com" | bash
>$ helix install
Terminal
>helix init --path
If you want to define the directory then:
>helix init --path <path-here>
Initialize Project
Now that the Helix CLI and HelixDB are installed on your device, initialize a project.
Hybrid Query Traversals
Seamlessly combine vector similarity search with graph traversals in a single, powerful query. No more complex joins or multiple database calls.
QUERY findSimilarFriends(userID: String, queryVec: Vector) =>similar <- SearchV(queryVec, topK: 5)friends <- similar::Out<Friends>RETURN friends::{ ID, name, similarityScore }
Type-Safety
Advanced static analysis provides real-time feedback, autocomplete, and error detection. Write queries with confidence.
Type Checker
>helix check ❌ Checking Helix queries error: 'Know' is not a valid edge type (in QUERY named 'get_user*) |--queries.hx: 16:38 16 | user_nodes <- N<User> (node_1d):: 0ut<Know> ---> help: check the schema for valid edge types ...
Lower Costs
Eliminate the complexity and cost of maintaining separate vector and graph databases. One unified solution.
High Speeds
Optimized for both vector similarity and graph traversal workloads with industry-leading performance metrics.
Join Our Growing Community
Be part of the next generation of database technology. Connect with developers and innovators building the future.
Managed Cloud Service
- Automatic scaling to handle traffic spikes
- 24/7 expert support and monitoring
- Enterprise-grade security and compliance
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