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Elevating AI Applications with OpenSearch's Flow Framework and RAG Tool

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Elevating AI Applications with OpenSearch's Flow Framework and RAG Tool
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64
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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This talk introduces OpenSearch's Flow Framework and RAG (Retrieval-Augmented Generation) Tool, enabling developers to create AI-augmented agent, queries, and ingestion flows, integrate ML models, and streamline app development through a no-code/low-code builder. The Flow Framework offers a template for composing AI-augmented flows and integrating ML models. The RAG Tool combines large language models with relevant data from your indexes, enabling question-answering that truly understands and reasons over your proprietary data. Attendees will gain insights into building chatbots, question-and-answer search systems, and other AI-driven applications by leveraging the capabilities of OpenSearch's Flow Framework and RAG Tool. --- This session is sponsored by OpenSearch.