ragvizexpander 1.1.0

A open-source tool to to visualise your RAG documents 🔮.

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.

Install

• Install from source

pip install -e .

• Install from PyPI

pip install ragvizexpander

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
	PDF	Built-in

Document loader

Type	Tool	Where
WORD	Default	Location
	doc2txt	Location
	unstructured	Location
	llama-index	Location
PDF	Default	Location
	unstructured	Location
	llama-index	Location
TXT	Default	Location
	unstructured	Location
	llama-index	Location
PPTX	Default	Location
	unstructured	Location
	llama-index	Location

DEMO

Usge: streamlit run app.py

Huggingface Space: RagVizExpander

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.