AWS re:Invent 2023 - Use RAG to improve responses in generative AI applications (AIM336) Published 2023-12-04 Download video MP4 360p Recommendations 56:33 AWS re:Invent 2023 - Data patterns for generative AI applications (DAT338) 11:37 What is RAG? (Retrieval Augmented Generation) 1:01:05 AWS re:Invent 2023 - Innovate faster with generative AI (AIM245) 49:59 Configure Retrieval Augmented Generation (RAG) with Amazon Bedrock Knowledge Bases and MongoDB 34:22 How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini 59:51 AWS re:Invent 2023 - Best practices for serverless developers (SVS401) 1:06:22 AWS re:Invent 2023 - Putting your data to work with generative AI | AIM250-INT 46:48 AWS re:Invent 2023 - Build your first generative AI application with Amazon Bedrock (AIM218) 55:45 AWS re:Invent 2023 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT407) 50:06 AWS re:Invent 2023 - Choosing the right generative AI use case (AIM212) 53:29 AWS re:Invent 2023 - Simplify generative AI app development with Agents for Amazon Bedrock (AIM353) 23:47 AI Pioneer Shows The Power of AI AGENTS - "The Future Is Agentic" 1:17:09 LangChain + Amazon Bedrock + Kubernetes = RAG-based SaaS Implementation 37:16 Generative AI In AWS-AWS Bedrock Crash Course #awsbedrock #genai 21:33 Python RAG Tutorial (with Local LLMs): AI For Your PDFs 40:06 Configure Amazon Bedrock Knowledge Bases with Pinecone Vector Database