LlamaIndex & Astra DB: Building Petabyte-Scale GenAI Apps Just Got Easier

A new integration between DataStax Astra DB and LlamaIndex has been introduced, simplifying the process of building generative AI applications. LlamaIndex is a popular data framework for connecting custom data sources to large language models (LLMs). The Astra DB LlamaIndex connector enables real-time ingestion of vector embedding data from an Astra vector database directly into an app, allowing users to create powerful, petabyte-scale, data-augmented chatbots and agents. Sample code demonstrates how to read a PDF, generate embeddings, store content in Astra DB, and use the ingested document to answer questions according to the Retrieval Augmented Generation (RAG) pattern. This integration is one of many being developed to make it easier to build Gen AI apps with Astra DB.

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