bedrock-agents-streamlit and amazon-bedrock-agents-quickstart
These are complementary tools where one provides a UI framework (Streamlit) for building and demonstrating Bedrock agents, while the other serves as a foundational quickstart guide for learning core agent concepts and implementation patterns that can be applied across different interfaces.
About bedrock-agents-streamlit
build-on-aws/bedrock-agents-streamlit
Creating Amazon Bedrock agents with Streamlit Framework
Provides a complete workflow for building Bedrock agents with RAG capabilities, combining knowledge bases (vector-embedded FOMC documents), Lambda-backed action groups for dynamic portfolio generation, and email integration through a Streamlit UI. Integrates Amazon Bedrock models (Claude 3 Haiku, Titan Embeddings), S3-backed vector stores, and Lambda functions, with optional AWS CloudFormation IaC templates for infrastructure deployment. Targets AWS-native development with step-by-step console guidance and EC2 deployment options for production use.
About amazon-bedrock-agents-quickstart
build-on-aws/amazon-bedrock-agents-quickstart
Learn how to quickly build Agents with Amazon Bedrock
Implements a RAG-based agent architecture combining LangChain embeddings with FAISS vector search for AWS Well-Architected Framework queries, plus Claude-based code generation. Tools are containerized as Lambda functions deployed via ECR, with agents orchestrated through Bedrock's action groups that parse requests and route them to the appropriate tool handler.
Scores updated daily from GitHub, PyPI, and npm data. How scores work