LibreAI / RAG & Knowledge / infigraph
// rag · intuit/infigraph

infigraph

AST-powered code intelligence engine — graph database plus hybrid semantic search across 62 languages, zero LLM dependency.

💎 Hidden gem★ 91 stars⑂ 17 forksNOASSERTIONupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

infigraph is an open-source rag & knowledge project by intuit (intuit/infigraph on GitHub). It has 91 GitHub stars and 17 forks, is released under the NOASSERTION license, and was last updated on GitHub on 2 October 2026.

GitHub stars
91
Forks
17
License
NOASSERTION
Last updated on GitHub
2 October 2026
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clone the repository

    Fetch the source code onto your machine.

  2. Build the project

    Compile the release binary with Cargo.

  3. Configure the project

    Copy the sample config and adjust it.

  4. Run it

    Launch the compiled binary.

// features

Why people love it

Ai Tools

Built around ai tools for a focused workflow.

Ast Parsing

Built around ast parsing for a focused workflow.

Code Analysis

Built around code analysis for a focused workflow.

Code Intelligence

Built around code intelligence for a focused workflow.

Open source

Inspect, fork, and modify every line of the code.

Self-hosted

Run it on your own machine — no account lock-in.

Advertisement
// run it

Run it yourself

  1. Clone

    Get the source on your machine.

    git clone https://github.com/intuit/infigraph.git
  2. Build

    Compile with Cargo.

    cd infigraph && cargo build --release
  3. Start

    Run the release binary.

    cd infigraph && ./target/release/infigraph
// use cases

What you can build

Advertisement
// faq

Questions, answered

What does infigraph do?

It aST-powered code intelligence engine. Graph database + hybrid semantic search for 62 languages. Zero LLM dependency. Runs locally, giving you a working starting point you can run and adapt.

Is infigraph free to use?

Yes — the code is publicly available, so you can use and modify it without a license fee.

How do I install infigraph?

Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.

What is infigraph written in?

It is primarily written in Rust, so you will need that toolchain to build or extend it.

Where can I get help with infigraph?

The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.

// keep exploring

Similar tools

AI 3D

Hunyuan3D-2-WinPortable

📦Portable package for running Hunyuan3D 2.0/2.1 on Windows. | 混元 3D 2.0/2.1 整合包

★ 1.3k starsGPL-3.0
View guide →
Video

lecture2notes

Turn lecture videos into study notes with machine learning.

★ 67 starsAGPL-3.0
View guide →
Clipping

vinci-clips

Open clipping platform that turns long videos into social-ready shorts.

★ 153 starsCustom
View guide →
RAG & Knowledge

infinity

AI-native database for hybrid search across dense, sparse, and tensor vectors plus full text

★ 4.7k starsApache-2.0
View guide →
RAG & Knowledge

vexor

Semantic search engine designed for files and code.

★ 242 starsMIT
View guide →
RAG & Knowledge

helix-db

An OLTP graph database with native vector and full-text search, built in Rust on object storage.

★ 6.1k starsApache-2.0
View guide →
// alternatives

Alternatives in RAG & Knowledge

The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if infigraph is not the right fit.

Get infigraph

Free and open — grab the source, star the repo, and start creating.