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Enhancing Search on AWS with AI, RAG, and Vector Databases - Level 300

AWS Events via YouTube

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Overview

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Explore an advanced technical session that examines the integration of generative AI and Large Language Models (LLMs) for enhanced search capabilities on AWS. Master the implementation of LLMs, embeddings, and vector datastores alongside their indexing techniques to build sophisticated search solutions using Amazon Bedrock, Aurora, and LangChain. Discover practical applications across various industries while learning to leverage these cutting-edge technologies for improved user experiences and business outcomes. Dive deep into the technical aspects of combining AI-powered search functionalities with AWS services, gaining hands-on knowledge to develop innovative search solutions that harness the full potential of LLMs and vector databases in cloud computing environments.

Syllabus

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

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AWS Events

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