HelixDB

Build 10x faster with the first fully native Graph-Vector Database combining the power of graph and vector types natively in Rust to build RAG and AI applications easily

Cost

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use HelixDB to store and query data that needs both vector similarity search and graph traversals in a single database. It combines vector searches (around 2ms) and graph operations (under 1ms) without needing separate databases. Built in Rust, it's designed for AI applications, RAG systems, and AI agents that need to find similar items and explore relationships between them. You can install it locally via CLI or use their managed cloud service.

What HelixDB does

Install HelixDB CLI with single commandInitialize new database projects locallyWrite type-safe queries combining vectors and graphsDeploy databases locally or to managed cloudSearch similar items while exploring relationshipsBuild hybrid queries with vector and graph operationsMonitor database performance with built-in metricsScale applications with automatic cloud scalingCombines vector and graph operations in single databaseVector searches average 2ms response timeGraph traversals complete in under 1msBuilt entirely in Rust for performanceType-safe query language with autocompleteReal-time error detection and feedbackCLI installation and local deploymentManaged cloud service with auto-scaling

Pricing breakdown

PlanPrice10 seats / yr

Open Source$0—

Annual estimates assume continuous billing at the listed list price. Volume discounts typical above 50 seats.

Tutorials & Demos

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