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Retrieval Augmented Generation (RAG) has risen to popularity as a powerful technique for enhancing the performance of language models. By leveraging external information sources, such as large datasets and knowledge bases, RAG can improve the quality and contextual relevance of responses. This makes it a very compelling choice for GenAI applications.
At the same time, RAG can also introduce complexity and its own set of challenges – from increased data traffic and information overload to data quality risks and security and compliance issues. Implementing RAG capabilities also requires the integration of a range of technologies, which can include search engines, vector databases, knowledge graphs, data processing pipelines, pre-trained language models, and many more components.
To dive into the key technologies and emerging best practices for implementing RAG in the enterprise, KMWorld is hosting a special roundtable webinar on October 29th.
Reserve your seat today!
Don't miss this live event on Tuesday, October 29th, 11:00 AM PT / 2:00 PM ET. Register Now to attend the webinar Unlocking the Power of RAG.
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