curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain
A collection of Jupyter notebook tutorials teaching prompt engineering and LangChain for building LLM-powered applications.
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This repository contains hands-on tutorials with code examples covering how to build real-world AI applications using large language models and LangChain. It covers loading custom data, creating prompt templates, building retrieval QA chains, developing chatbots with memory, and implementing AI agents. Projects include chat with PDFs, sentiment analysis, and deploying LLMs to production.