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title: RAG Document Processing | |
emoji: π | |
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. | |