aws-samples/bedrock-engineer
Universal AI Agent using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative images and more.
Application implementation with business use cases for safely utilizing generative AI in business operations
$ git clone https://github.com/aws-samples/generative-ai-use-cases.gitUniversal AI Agent using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative images and more.
A privacy-first guardrail for LLMs and RAG pipelines. SurrogateShield detects, redacts, and reconstructs sensitive PII data on the fly while defending against adversarial attacks.
▲ +1 ★ this week
AI-first Search & Answer Engine for work. Open-source alternative to Glean.
▲ +2 ★ this week
a best-effort approximation of a synthetic entity complete with all of the primatives required for long-horizon persistance. batteries included.
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Data from GitHub · snapshot Nov 13, 2026