Welcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Generative AI using Amazon Web Services (AWS).
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.
AWS Well-Architected Framework Review (WAFR) Acceleration with Generative AI (GenAI) sample.
Sample solution to automate tedious regulatory compliance processes using multi-agent systems
Samples using AWS Terraform modules to accelerate your Infrastructure-as-Code deployments for generative AI workloads.
How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.
How to build a chat assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.
How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.
This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.
How to build a backup assistant using AI agents on Amazon Bedrock.
Code samples to build AIML apps on AWS
An AI-powered chatbot integrated into my personal portfolio using Amazon Bedrock (LLaMA 3.3), RAG architecture, and Next.js. It retrieves answers from custom documents like resumes, project markdowns, and LinkedIn to answer questions in natural language.
Amazon Bedrock Knowledge Base RAG Chatbot with ReAct pattern
Amazon Bedrock - Multi-Agent Orchestration Workshop
AWS Serverless RAG chatbot endpoint using Amazon Bedrock Knowledge Base
A simple web application that provides Generative AI chat functionality using Amazon Bedrock with Retrieval-Augmented Generation (RAG) capabilities through Bedrock Knowledge Base.
Enterprise AI Operations Assistant built on AWS using Amazon Bedrock, Retrieval-Augmented Generation (RAG), and serverless architecture to provide grounded answers from enterprise documentation.
To associate your repository with the amazon-bedrock-knowledge-bases topic, visit your repo's landing page and select "manage topics."