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AutoRAG

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

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Our verdict

Not reviewed yet

We have not reviewed AutoRAG yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

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From the listing

About AutoRAG

AutoRAG is an open-source framework that automates the evaluation and optimization of retrieval-augmented generation pipelines. It uses an AutoML-style approach to test multiple configurations of retrievers, generators, and other components and identifies the best combination for a given dataset. Users provide a dataset and a set of candidate modules, and AutoRAG runs experiments to find the optimal pipeline.

Best for

Developers building and optimizing custom RAG systems for production or research.

Use cases

  • Optimizing RAG pipeline components for a custom dataset
  • Benchmarking different retrievers and generators in a unified framework
  • Automating hyperparameter search for RAG system deployment

Notes

4,802 stars on GitHub. Last updated 2026-05-19. Licensed Apache-2.0.

Pros

  • Reduces manual trial-and-error in RAG system design
  • Supports a wide range of retrievers and generators out of the box
  • Provides detailed evaluation metrics and reports

Cons

  • Requires significant computational resources to test many configurations
  • Limited to the set of supported modules (not infinitely extensible)
  • Setup and configuration can be complex for new users

Key facts

What we have checked

Latest version
2.13.0 (released 25 Oct 2026)
Checked GitHub
GitHub stars
5,111
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How AutoRAG is growing

GitHub stars

4,802 to 5,111

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to AutoRAG

RecordTypeHow we knowChecked
RagasThis is an alternative to itOpen sourceNamed in the listingNot dated

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Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 2.13.0

    Source: GitHub

  2. Released 2.12.0

    Source: GitHub

  3. Released 2.11.0

    Source: GitHub

  4. Released 2.10.6

    Source: GitHub

  5. Released 2.10.5

    Source: GitHub

  6. Released 2.10.4

    Source: GitHub

  7. Released 2.10.3

    Source: GitHub

  8. Released 2.10.2

    Source: GitHub

  9. Released 2.10.1

    Source: GitHub

  10. Released 2.10.0

    Source: GitHub

  11. Released 2.9.0

    Source: GitHub

Open-source & AI alternatives

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