by aws-samples · Agent Tool · ★ 77
Build an Agentic LLM assistant on AWS This hands-on workshop, aimed at developers and solution builders, trains you on how to build a real-life serverless LLM application using foundation models (FMs) through Amazon Bedrock and advanced design patterns such as: Reason and Act (ReAct) Agent, text-to-SQL, and Retrieval Augemented Generation (RAG). It complements the Amazon Bedrock Workshop by helping you transition from practicing standalone design patterns in notebooks to building an end-to-end llm serverless application.
| Stars | 77 |
| Forks | 37 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | MIT-0 |
| Quality Score | 63.6766554202979/100 |
| Open Issues | 7 |
| Last Updated | 2025-10-14 |
| Created | 2024-04-11 |
| Platforms | aws, claude-code |
| Est. Tokens | ~336k |
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build-an-agentic-llm-assistant is Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.. It is categorized as a Agent Tool with 77 GitHub stars.
build-an-agentic-llm-assistant is primarily written in Jupyter Notebook. It covers topics such as amazon-bedrock, aws-lambda, claude.
You can find installation instructions and usage details in the build-an-agentic-llm-assistant GitHub repository at github.com/aws-samples/build-an-agentic-llm-assistant. The project has 77 stars and 37 forks, indicating an active community.
build-an-agentic-llm-assistant is released under the MIT-0 license, making it free to use and modify according to the license terms.