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Awesome RAG Production

A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.

Our verdict

Not reviewed yet

We have not reviewed Awesome RAG Production 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.

How we review records

From the listing

About Awesome RAG Production

A curated GitHub repository that organizes tools, frameworks, and best practices for production-grade Retrieval-Augmented Generation systems. It categorizes resources by function and emphasizes scalability and deployment readiness. The collection is community-maintained and focuses on Python-based solutions.

Best for

Teams building production RAG systems primarily in Python

Use cases

  • Selecting vector databases for production deployments
  • Implementing chunking and retrieval strategies
  • Evaluating RAG pipeline performance and reliability

Notes

44 stars on GitHub. Last updated 2026-06-01. Licensed CC0-1.0.

Pros

  • Covers both tools and implementation best practices
  • Structured by category for quick navigation
  • Emphasizes production readiness over prototyping

Cons

  • Low GitHub star count suggests limited community traction
  • May not include the very latest emerging tools
  • Mostly Python-centric with limited support for other languages

Key facts

What we have checked

Days since the last commit
0
Checked GitHub
GitHub forks
75
Checked GitHub
GitHub stars
283
Checked GitHub
Days to a first reply on issues
140.3
Checked GitHub
Open issues
1
Checked GitHub
Releases in the last 90 days
2
Checked GitHub

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

Health and security

Is Awesome RAG Production looked after, and what do its setup files show

Health score

52 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 0 days ago
Releases11.3 of 152 releases in 90 days
Issue replies0 of 20First reply in 140.3 days (median)
Maintainer0 of 15Owned by a single user
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

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

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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