Learn to build and optimize scalable Retrieval Augmented Generation (RAG) applications in this technical conference session from AWS re:Invent 2024. Explore advanced techniques for improving response accuracy and cost optimization using Amazon Bedrock Knowledge Bases. Discover how to implement advanced chunking, parsing, and hallucination reduction capabilities while building contextually aware RAG solutions that scale efficiently. Master the pay-as-you-go approach to developing RAG applications that deliver precise responses by connecting foundation models to your data through Amazon Bedrock's managed capabilities.
Overview
Syllabus
AWS re:Invent 2024 - Build scalable RAG applications using Amazon Bedrock Knowledge Bases (AIM305)
Taught by
AWS Events
Related Courses
-
Lab - Build and evaluate Retrieval Augmented Generation (RAG) applications using Knowledge Bases for Amazon Bedrock
-
Integrating Knowledge Bases for RAGs
-
Building Retrieval Augmented Generation (RAG) workflows with Amazon OpenSearch Service
-
Building Generative AI Applications Using Amazon Bedrock (Thai)
-
Developing LLMs on Amazon Bedrock
-
Building Retrieval Augmented Generation (RAG) workflows with Amazon OpenSearch Service (Indonesian)
