A open-source tool to to visualise your RAG documents 🔮.
Project description
RAGVizExpander
Welcome to RAGVizExpander, an extension of the RAGxplorer project,
where we aim to incorporate new features tailored to personal interests and enhance the overall user experience.
You can use this program to test the effects of different embedding models and chunking strategies.
Components
Below are the components you can use:
| Type | What | Where |
|---|---|---|
| LLM | OpenAI | Built-in |
ollama |
examples | |
| Embedding | OpenAI | Built-in |
| SentenceTransformer | Built-in | |
| HuggingFace | Built-in | |
| Endpoint-based | examples | |
| File Loader | DOCX | Built-in |
| PPTX | Built-in | |
| TXT | Built-in | |
| Built-in |
DEMO
Usge: streamlit run app.py
Features
- Custom LLM & Embedding model
- Custom chunking strategy
- Support for parsing multiple types of files
Acknowledgments 💙
- This project is forked from RAGxplorer
License
This project is licensed under the MIT license - see the LICENSE for details.
Release history Release notifications | RSS feed
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