cloud-rag-webhook / README.md
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metadata
title: RAG Document Processing
emoji: 📄
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false
models:
  - sentence-transformers/all-MiniLM-L6-v2
  - facebook/bart-large-cnn
license: apache-2.0

RAG Document Processing

This Hugging Face Space contains a RAG (Retrieval Augmented Generation) system for processing documents, built entirely with Hugging Face tools and models.

Features

  • Automated processing of text files
  • OCR and document processing with HF models
  • Vector storage with FAISS
  • Embeddings with sentence-transformers
  • Simple query interface with Gradio

Implementation

This is a Hugging Face-native implementation of the original cloud-based RAG system. It uses:

  • Sentence Transformers for embeddings
  • FAISS for vector search
  • Transformers models for document processing
  • Persistent storage for data
  • A100 GPU acceleration (for pro users)

Usage

  1. Upload documents to be processed
  2. The system automatically processes and indexes them
  3. Query the processed documents through the interface

See the CLAUDE_HF.md file for implementation details.