Project Details

University RAG Assistant

This is a simple Retrieval-Augmented Generation (RAG) system that allows you to ask questions based on your university files (tasks, lectures, presentations, code, etc.).

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About This Project

馃帗 University RAG Assistant

This is a simple Retrieval-Augmented Generation (RAG) system that allows you to ask questions based on your university files (tasks, lectures, presentations, code, etc.).
It uses Flask, LlamaIndex, Ollama, ChromaDB, and HuggingFace embeddings to answer questions.

馃殌 Features

  • Upload your university materials in one folder
  • Ask questions about them via an API (/api/question)
  • Uses LLMs (like llama2:7b) and semantic search
  • Prompt optimized for Polish academic context

Tech Stack

Python
Python
Ollama
Ollama
Docker
Docker
Flask
Flask

Tags

llmairagollamachromadb