Enhancing search on AWS with AI, RAG, and vector databases (L300) | AWS Events

As AI continues to transform industries, the applications of generative AI and Large Language Models (LLMs) are becoming increasingly significant. This session delves into the utility of these models across various sectors. Gain an understanding of how to use LLMs, embeddings, vector datastores, and their indexing techniques to create search solutions for enhanced user experiences and improved outcomes on AWS using Amazon Bedrock, Aurora, and LangChain. By the end of this session, participants will be equipped with the knowledge to harness the power of LLMs and vector databases, paving the way for the development of innovative search solutions on AWS.


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[Playbox]

Great presentation it covered so many concept seamlessly

[kathiemuhler]

The thick accent makes hearing with concentration painful.