gptme-rag

by gptme · Agent Tool · ★ 48

About gptme-rag

gptme-rag A powerful RAG (Retrieval-Augmented Generation) system that enhances AI interactions by providing relevant context from your local files. Built primarily for gptme, but can be used standalone. RAG systems improve AI responses by retrieving and incorporating relevant information from a knowledge base into the generation process. This leads to more accurate, contextual, and factual responses.

agent-toolscligptmeragretrieval-augmented-generation

Quick Facts

Stars48
Forks5
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score74.5414772631523/100
Open Issues1
Last Updated2026-07-05
Created2024-11-15
Platformscli, python
Est. Tokens~15k

Compatible Skills

These tools work well together with gptme-rag for enhanced workflows:

  • TabulaRAG — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • tabulaRAG — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • knowledge-rag — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • lilbee — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • MODULAR-RAG-MCP-SERVER — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is gptme-rag?

gptme-rag is Local RAG as a simple CLI, for standalone use or as a gptme tool. It is categorized as a Agent Tool with 48 GitHub stars.

What programming language is gptme-rag written in?

gptme-rag is primarily written in Python. It covers topics such as agent-tools, cli, gptme.

How do I install or use gptme-rag?

You can find installation instructions and usage details in the gptme-rag GitHub repository at github.com/gptme/gptme-rag. The project has 48 stars and 5 forks, indicating an active community.

What license does gptme-rag use?

gptme-rag is released under the MIT license, making it free to use and modify according to the license terms.

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