build-on-aws / gen-ai-workshopLinks
Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q
☆80Updated last month
Alternatives and similar repositories for gen-ai-workshop
Users that are interested in gen-ai-workshop are comparing it to the libraries listed below
Sorting:
- Creating Amazon Bedrock agents with Streamlit Framework☆119Updated 3 months ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆86Updated last year
- Learn how to quickly build Agents with Amazon Bedrock☆89Updated last year
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆62Updated 2 months ago
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆81Updated 5 months ago
- ☆28Updated last year
- Personal Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on Athena Spark …☆79Updated this week
- ☆39Updated 7 months ago
- Learn to build custom prompts and tools for LangChain agents☆37Updated last year
- ☆62Updated 11 months ago
- AWS Well-Architected Framework Review (WAFR) Acceleration with Generative AI (GenAI) sample.☆61Updated this week
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆76Updated 7 months ago
- The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.☆58Updated last year
- ☆44Updated this week
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆232Updated last week
- Pre-built examples of Generative AI agents with Bedrock across multiple industries.☆42Updated 2 weeks ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock