Ragdata
Build knowledge bases for retrieval-augmented generation (RAG) applications.
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Ragdata provides tools to create knowledge bases optimized for Retrieval Augmented Generation (RAG) workflows. It simplifies the process of building txtai embeddings databases from common datasets like ArXiv and Wikipedia, enabling users to quickly establish robust knowledge sources for their RAG-based applications.
Características Principales
- Build txtai embeddings databases
- Easy installation via pip
- Supports ArXiv dataset
- Supports Wikipedia dataset
- 18 GitHub stars
Casos de Uso
- Create a knowledge base from ArXiv research papers for a RAG application.
- Build a Wikipedia-based knowledge source for question answering.
- Develop a chatbot powered by retrieval-augmented generation.
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