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
JSON representation
An agentic RAG system made with FastAPI, Langchain, Langgraph, Fiass, Unstructured, & Vite
- Host: GitHub
- URL: https://github.com/pratham-jaiswal/agentic-rag
- Owner: pratham-jaiswal
- License: mit
- Created: 2025-07-08T13:10:11.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-11T19:07:26.000Z (11 months ago)
- Last Synced: 2025-08-12T08:48:31.422Z (10 months ago)
- Topics: agentic-rag, faiss, fastapi, langchain, langgraph, vite, vite-react
- Language: JavaScript
- Homepage:
- Size: 261 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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.


## 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
Your support helps keep projects alive and growing — and you get rewarded with exclusive early access 🚀