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OpenAI acquires Rockset to strengthen its retrieval capabilities
With this deal, the tech stack built by Rockset, especially the “world-class indexing and querying capabilities,” will be powering the retrieval stack of OpenAI products.
It acts as an external secondary index for OLTP databases, data lakes, and streaming platforms, accelerating real-time analytic queries and providing performance isolation for primary transactional systems. The companies are yet to share the exact specifics on how this integration will take shape, but one thing is pretty much clear: Rockset will enable OpenAI products to answer customer questions with the freshest and most relevant information, faster than ever before. Enterprises and startups using AI tools such as OpenAI’s models have already been attempting to leverage a technique known as “ retrieval augmented generation, ” coined in a 2020 paper by researchers from Meta, University College London and New York University, which links generative AI with external knowledge bases, ideally improving the model’s ability to handle specific queries and reducing the risk of incorrect answers — such as answering an employee’s question about expense policy guidelines by pulling on an enterprise’s documentation, for example.
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