Retrieval-Augmented Generation (RAG) and Knowledge Bases

Topics Covered

• This module introduces Retrieval-Augmented Generation (RAG) architectures that improve response quality by combining foundation models with enterprise knowledge sources. Participants will build intelligent knowledge assistants using Amazon Bedrock Knowledge Bases and vector search.

Topics Covered

• Introduction to RAG
• Embeddings
• Vector Databases
• Amazon Bedrock Knowledge Bases
• Amazon OpenSearch Vector Engine
• Document Ingestion
• Semantic Search
• Enterprise Knowledge Retrieval
• RAG Best Practices