DEVOPSdigest

DataStax 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.

LlamaIndex is a framework for ingesting, indexing, and querying data for building generative AI applications and addresses the ingestion pipelines needed for enterprise-ready RAG. LlamaParse is LlamaIndex’s new offering that targets enterprise developers building RAG over complex PDFs; it enables clean extraction of tables by running recursive retrieval, promising more accurate parsing of the complex documents often found in business.

RAGStack with LlamaIndex offers a comprehensive solution tailored to address the challenges encountered by enterprise developers in implementing RAG solutions. Key benefits include a curated Python distribution available on PyPI, ensuring smooth integration with Astra DB, DataStax Enterprise (DSE), and Apache Cassandra®, and a live RAGStack test matrix and proven GenAI app templates. The inclusion of LlamaIndex enhanced indexing and parsing capabilities enables users to use LlamaIndex alone, or in combination with LangChain and their ecosystem including LangServe, LangChain Templates, and LangSmith.

Jerry Liu, co-founder and CEO of 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. This collaboration embodies our commitment to simplicity, innovation, and limitless possibilities.”

“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,” said Davor Bonaci, CTO and EVP, DataStax. “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.”