HelixDB

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HelixDB is a native graph-vector database built in Rust for RAG, semantic search, knowledge graphs, and AI agent workflows. It offers high throughput and low latency for scalable graph applications.

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At a glance

Pricing

Freemium · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is HelixDB?

HelixDB is a native graph-vector database engineered in Rust, designed to support advanced AI applications such as RAG (Retrieval Augmented Generation), semantic search, knowledge graphs, and AI agent workflows. It combines graph and vector capabilities natively, providing a highly scalable and performant solution for complex data relationships. The database is built for efficiency, offering high throughput and low latency, making it suitable for both prototyping with Helix Lite and demanding enterprise applications. Developers can get started on Helix Cloud or run it locally, leveraging its efficient graph structures and compiled graph and vector queries.

Best used for

Ideal for developers and data scientists who need to build scalable RAG systems, implement efficient semantic search, and manage complex knowledge graphs. Especially valuable for those requiring high throughput and low latency for AI agent workflows and graph applications.

Common actions

build RAG applications

perform semantic search

manage knowledge graphs

develop AI agents

scale graph applications

Capabilities

Key features

Native graph-vector database
Built in Rust
High throughput
Low latency
Compiled graph queries
Compiled vector queries
Cloud or local deployment

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Freemium · Enterprise

Not publicly disclosed. Check helix-db.com for current pricing.

FAQs

What are the key benefits of HelixDB's native graph-vector architecture?

HelixDB's native graph-vector architecture, built in Rust, offers superior performance with high throughput and low latency. It efficiently handles complex data relationships and vector embeddings, making it ideal for advanced AI applications like RAG and semantic search by compiling queries for speed.

Can HelixDB be used for both prototyping and enterprise-level applications?

Yes, HelixDB offers both Helix Lite and Helix Enterprise versions. Helix Lite is perfect for prototyping and low-latency applications, available on Helix Cloud or for local deployment. Helix Enterprise is designed for building and growing infinitely scalable graph applications.

What kind of AI applications is HelixDB best suited for?

HelixDB is specifically designed for AI agent workflows, RAG (Retrieval Augmented Generation), semantic search, and knowledge graphs. Its ability to combine graph and vector data natively provides a powerful foundation for these intelligent applications.

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