A new integration lets developers use DataStax RAGStack with LlamaIndex to build GenAI applications.
DataStax has announced its out-of-the-box retrieval augmented generation (RAG) solution, RAGStack, is now generally available powered by LlamaIndex as an open-source framework, in addition to LangChain.
DataStax RAGStack for LlamaIndex is also the first partner to support an integration (currently in public preview) with LlamaIndex’s LlamaParse – which gives developers using Astra DB a simple API to efficiently parse and transform complex PDFs into vectors in minutes.
“This collaboration embodies our commitment to simplicity, innovation and limitless possibilities,” said Jerry Liu, Co-founder and CEO, LlamaIndex.
“Together, we’re reshaping the RAG landscape by offering a simplified journey for not only enterprises but also developers looking to put GenAI applications into production with ease.”
Davor Bonaci, CTO and Executive Vice President, DataStax, said: “Out-of-the-box RAG solutions are in high demand, so this integration is a significant milestone for our enterprise developers seeking to implement generative AI applications.
“By incorporating LlamaIndex into RAGStack, we are providing developers with a comprehensive GenAI stack that simplifies the complexities of RAG implementation – while offering long-term support and compatibility assurance.”
Jeff Schneider, CEO, Imprompt, said: “We’re pioneering digital interaction with our Chat-to-Everything platform, seamlessly integrating with Astra DB from DataStax as our primary vector store.
“With RAGStack powered by LlamaIndex, we enhance enterprise offerings while prioritizing privacy. Our integration with RAGStack enables secure data exchange, powering innovation for global enterprises.”
