Fundamentals of AI Agents Using RAG and LangChain
My fifteenth module in my IBM course!
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What I learned!
- Exploring the fundamentals of retrieval-augmented generation (RAG) and how it is applied to generate more accurate and context-aware responses in applications such as chatbots and intelligent AI agents. And learning about the complete RAG process, including its integration with LangChain for building modular and scalable AI solutions;
- Learning about in-context learning and advanced prompt engineering techniques to design and refine prompts for generating relevant and accurate AI responses. And then exploring the LangChain framework, an open-source interface that simplifies AI application development using large language models (LLMs).
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