Building a RAG-Based Training Center Assistant with Amazon Bedrock and Pinecone (PART1)
Building a RAG-Based Training Center Assistant with AWS Bedrock and Pinecone Table of Contents Introduction Background Architecture Overview Step-by-Step Implementation A. Create Pinecone API Key B. Create Pinecone Index C. Store Pinecone API Key in AWS Secrets Manager D. Create Bedrock Knowledge Base E. Create Lambda Function for the Agent to access DynamoDB table F. Create S3 Bucket and Upload OpenAPI Schema G. Create Bedrock Agent H. Create Resource based Policy for Lambda function Conclusion Introduction In this article, I will guide you through building a Retrieval-Augmented Generation (RAG) application using AWS Bedrock , Pinecone , and Amazon Titan Text G1 - Premier Model. We will create a Training Center Assistant Chatbot capable of answering customer queries about training course...