Build knowledge bases for retrieval-augmented generation (RAG) applications.
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.
Key Features
01Build txtai embeddings databases
02Easy installation via pip
03Supports ArXiv dataset
04Supports Wikipedia dataset
0518 GitHub stars
Use Cases
01Create a knowledge base from ArXiv research papers for a RAG application.
02Build a Wikipedia-based knowledge source for question answering.
03Develop a chatbot powered by retrieval-augmented generation.
