by aws-samples · Agent Tool · ★ 77
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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. Within the labs of this workshop, you'll explore some of the most common and advanced LLM applications design patterns used by customers to improve business operations with Generative AI. Namely, these labs together help you build step by step a complex Agentic LLM assistant capable of answering retrieval and analytical questions on your internal knowledge bases.
| 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.
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