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https://github.com/pratham-jaiswal/agentic-rag

An agentic RAG system made with FastAPI, Langchain, Langgraph, Fiass, Unstructured, & Vite
https://github.com/pratham-jaiswal/agentic-rag

agentic-rag faiss fastapi langchain langgraph vite vite-react

Last synced: 9 months ago
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An agentic RAG system made with FastAPI, Langchain, Langgraph, Fiass, Unstructured, & Vite

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README

          

# Agentic RAG

This is a Agentic RAG web app. This indexes the PDF text and images using a vector database (FIASS), only via backend. Then, it allows users to query the knowledge base using natural language. The application uses OpenAI's GPT model to process the queries and return relevant information from the knowledge base, using an agentic approach to retrieve and generate responses.

![Codefactor](https://img.shields.io/codefactor/grade/github/pratham-jaiswal/agentic-rag?style=flat&label=Code%20Quality&labelColor=%23201f31)
![GitHub License](https://img.shields.io/github/license/pratham-jaiswal/agentic-rag?style=flat&label=License&labelColor=%23201f31)

## Get Started

- Clone the repository: `git clone https://github.com/pratham-jaiswal/agentic-rag.git`.
- Navigate to the project directory: `cd agentic-rag`.
- Check the `README.md` file in [backend](https://github.com/pratham-jaiswal/agentic-rag/blob/main/backend/README.md) and [frontend](https://github.com/pratham-jaiswal/agentic-rag/blob/main/frontend/README.md) directories for specific instructions on how to set up the backend and frontend.

## Screenshots




## License

This project is licensed under the [MIT License](https://github.com/pratham-jaiswal/agentic-rag/blob/main/LICENSE).

## Support

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