amazon-bedrock

This repo contains AI-powered software development patterns showing how to integrate agentic AI in different stages of software development lifecycle using Kiro, Amazon Q Business and Amazon Bedrock. This collection of patterns demonstrates practical approaches for leveraging AWS's generative AI capabilities across the software dev

Build a genAI Whatsapp app that processes images, voice notes, videos, and documents with Amazon Bedrock, and also stores the conversation history.

Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

This repo contains code for a demo of Amazon Bedrock Agents.

Uncovering Hidden Connections in Unstructured Financial Data using Amazon Bedrock and Amazon Neptune

Open Chat Playground (OCP) is a web UI that is able to connect virtually any LLM from any platform.

Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.