Local RAG

COMMUNITY

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Downloads 0
Stars 743
Version 1.0.0
Quality 86/100 · Excellent

Install with one command

$ npx skills add jonfairbanks/local-rag

Decision summary

Production-ready for Local desktop

Use this as a leading candidate, then validate the README and install path in your own agent stack.

97
Readiness

Best for

  • Local desktop workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Not ideal for

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review

Risk notes

  • No OpenAgentSkill engagement data yet

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

86
GitHub stars
743
Freshness
5d ago
Install ready
Yes
License
GPL-3.0

Workflow fit

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Stack fit

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Overview

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ragFULL

Technical Details

Version
1.0.0
License
GPL-3.0
Last Updated
5/31/2026
Published
5/25/2026

Frameworks & Tools

PythonRAG

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Author

J

jonfairbanks

@jonfairbanks

Platform Fit

Health Signals

GitHub stars
743
Quality score
54/100
Last GitHub push
May 26, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

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Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: GPL-3.0