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Advanced RAG Flow is an adaptive and self-directed retrieval-augmented generation (RAG) framework, designed to enhance the precision and efficiency of intelligent agents. This system leverages Adaptive RAG (for contextualized query refinement) and Self-RAG (self-iterative query improvement), providing dynamic response quality across complex information retrieval tasks.

✔️ Adaptive and Self-RAG flows for enhanced response accuracy;
✔️ Modular and scalable architecture supporting multiple agent types;
✔️ Real-time, contextually aware interaction with agents;
✔️ Optimized for complex, multi-stage retrieval tasks.

This project uses the following tools and libraries:

• LangGraph - Graph-based NLP framework
• LangChain - Framework for managing and chaining large language models
• Python - Core programming language
• Poetry - Dependency management and packaging

Before starting, ensure you have Git, Python, and Poetry installed.

# Clone this project
$ git clone https://github.com/mariotoribi0/advanced-rag-flow

# Access the project folder
$ cd advanced-rag-flow

# Install dependencies with Poetry
$ poetry install

# Activate the virtual environment
$ poetry shell

# Run the project
$ python agents/main.py

This project is under license from MIT. For more details, see the LICENSE file.

Made with ❤️ by Mario Toribio

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