CORAG

About CORAG

Completely OpenSource Retrieval Augmented Generation (CORAG) This repository implements a Retrieval Augmented Generation (RAG) model enhanced with an Agent-based architecture for contextualizing information retrieval from PDF documents, audio files, and conversational history. The model leverages Large Language Models (Google Gemini and Anthropic Claude) integrated with a dynamic toolkit, enabling advanced responses and calculations. Embeddings can be generated via Google, Voyage AI, OpenAI, or a local sentence-transformers model. Built with NiceGUI for a modern chat interface.

generative-ai large-language-models retrieval-augmented-generation streamlit

Quick Facts

Stars	27
Forks	2
Language	Python
Category	Agent Tool
License	Apache-2.0
Quality Score	69.6590912429901/100
Last Updated	2026-05-21
Created	2024-05-18
Platforms	python
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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