Amazon Bedrock RAG, Vector Stores & Knowledge Bases | Semantic Search & Generative AI | AWS

This presentation focuses on Retrieval-Augmented Generation (RAG), Vector Stores, Semantic Search, and Amazon Bedrock Knowledge Bases, important technologies for connecting Generative AI applications with external information using Amazon Web Services (AWS). It explains important concepts such as RAG, knowledge retrieval, embeddings, vector stores, semantic search, Knowledge Bases, and information retrieval. The presentation explains how Retrieval-Augmented Generation (RAG) combines information retrieval with Generative AI by retrieving relevant information from external knowledge sources and providing that information as context to Foundation Models. It also explores how embeddings and vector stores support semantic similarity searches and help applications retrieve information based on meaning rather than only exact keyword matches. Additionally, this presentation introduces Amazon Bedrock Knowledge Bases and demonstrates how knowledge sources can be connected to Generative AI applications. The hands-on learning experience provides an understanding of how information can be processed, stored, retrieved, and used as context for AI-generated responses. This learning experience helped me strengthen my understanding of RAG architectures, vector stores, semantic search, embeddings, and Amazon Bedrock Knowledge Bases. These technologies provide important building blocks for developing knowledge-grounded and intelligent Generative AI applications. Topics Covered: Introduction to Retrieval-Augmented Generation (RAG) How RAG Works Benefits of RAG Vector Stores Vector Embeddings Semantic Search Embeddings in RAG Amazon Bedrock Knowledge Bases Knowledge Base Workflow Hands-On with Knowledge Bases Information Retrieval Real-World Generative AI Applications #AWS #AmazonBedrock #GenerativeAI #RAG #RetrievalAugmentedGeneration #VectorStores #SemanticSearch #KnowledgeBases #Embeddings #FoundationModels #ArtificialIntelligence #MachineLearning #CloudComputing #AWSCloud #AWSDeveloper #GenerativeAIDeveloper #AWSCertification #AmazonWebServices #TechLearning #CloudTechnology