CORAG

by harinaralasetty · Agent Tool · ★ 27

About CORAG

A highly contextualized retrieval system integrating Large Language Models (LLMs), embeddings, and a dynamic agent-driven framework. Supports PDF and audio file processing, conversational memory, and tool integration (search, calculator). Features advanced HNSW indexing and reranking for accurate information retrieval.

generative-ailarge-language-modelsretrieval-augmented-generationstreamlit

Quick Facts

Stars27
Forks2
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score35.3/100
Last Updated2026-05-21
Created2024-05-18
Platformspython
Est. Tokens~670k

Compatible Skills

These tools work well together with CORAG for enhanced workflows:

  • LLM-Tools — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • knowledge-rag — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • optipfair — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (56%)
  • ai-microcore — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • mxcp — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is CORAG?

CORAG is A highly contextualized retrieval system integrating Large Language Models (LLMs), embeddings, and a dynamic agent-driven framework. Supports PDF and audio file processing, conversational memory, and . It is categorized as a Agent Tool with 27 GitHub stars.

What programming language is CORAG written in?

CORAG is primarily written in Python. It covers topics such as generative-ai, large-language-models, retrieval-augmented-generation.

How do I install or use CORAG?

You can find installation instructions and usage details in the CORAG GitHub repository at github.com/harinaralasetty/CORAG. The project has 27 stars and 2 forks, indicating an active community.

What license does CORAG use?

CORAG is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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