2B / README-HF.md
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Initial commit for Hugging Face Space deployment
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metadata
title: Personal AI Assistant with RAG
emoji: 🤗
colorFrom: indigo
colorTo: purple
sdk: docker
app_port: 7860
pinned: true
license: mit

Personal AI Assistant with RAG

A powerful personal AI assistant that uses Retrieval-Augmented Generation (RAG) to provide responses based on your documents and notes.

Features

  • Uses free Hugging Face models for language processing and embeddings
  • Stores and retrieves information in a vector database
  • Upload PDF, TXT, and CSV files to expand the knowledge base
  • Add direct text input to your knowledge base
  • View sources for AI responses
  • Conversation history tracking

How to Use

  1. Upload Documents: Use the sidebar to upload files (PDF, TXT, CSV)
  2. Add Text: Enter text directly into the knowledge base
  3. Ask Questions: Chat with the assistant about your documents
  4. View Sources: See where information is coming from

Built With

  • Hugging Face Models
    • LLM: google/flan-t5-large
    • Embeddings: sentence-transformers/all-MiniLM-L6-v2
  • LangChain for orchestration
  • Qdrant for vector storage
  • Streamlit for UI

Created by p3rc03