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Current Version: 2.14.0 / May 14, 2024

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Featured Image for Announcing an OpenSearch and DataStax generative AI partnership
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DataStax and the OpenSearch Project are announcing a series of integration efforts to support generative AI developers. Retrieval-augmented generation (RAG) is a key design pattern in generative AI. RAG applications work by assembling context from a variety of sources, which is then processed by a large language model (LLM) to provide an intelligent and relevant response. Serving these applications requires a mix of data retrieval and storage capabilities, and we, OpenSearch and DataStax, are committed to working together to serve the broad needs of generative AI developers.