---
title: DocuRAG
emoji: 📚
colorFrom: pink
colorTo: purple
sdk: docker
pinned: false
license: apache-2.0
app_port: 8000
---

This project implements a simple RAG system using hybrid search techniques. The system allows you to:

- Upload a document, which is automatically chunked and stored in a vectorized database.
- Perform hybrid search using both keyword-based and semantic search (cosine similarity).
- Query an LLM (paraphrase-MiniLM-L6-v2) to retrieve relevant information from the document.

The document chunks can be previewed, and the system provides responses based on the uploaded content, enabling efficient and accurate document-based information retrieval.