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Gen AI - RAG Application Development using LangChain

Mastering LangChain Framework: The Key to Advanced Language Model Applications

MD

Created by Manas Dasgupta

Explore how to build advanced AI applications using the LangChain framework and large language models. You'll move from prompt engineering basics to hands-on projects like RAG applications and chatbots. By the end, you'll be ready to create real-world solutions using cutting-edge AI tools.

Packt | Jun 2024 | 516 min

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LevelIntermediate
CategoriesLLM Engineering, Generative AI Tools and AI-Assisted Productivity

What You Will Learn

You'll learn by doing, starting with foundational concepts and moving into practical coding exercises. Each topic builds on the last, helping you develop skills step by step. Real-world projects and hands-on practice ensure you can apply what you learn right away.

Key Features

  • Design and implement prompts and agents for language model workflows
  • Integrate document loaders and vector databases for smarter AI applications
  • Build and deploy Retrieval-Augmented Generation (RAG) solutions for real data

Target Audience

Ideal for developers and technical professionals with basic Python and AI knowledge. If you want to deepen your understanding of language models and start building AI-powered applications, you'll find practical guidance and real project experience here.

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