This comprehensive seminar explores the practical applications of Retrieval-Augmented Generation (RAG) using LangChain and LangSmith. RAG is a powerful technique that combines the generative capabilities of Large Language Models (LLMs) with the precision of information retrieval, enabling sophisticated question-answering and data interaction applications.
This course emphasizes hands-on learning, equipping participants with the skills to build robust RAG systems for various practical scenarios. You will learn how to use OpenAI without showing them your data!
This comprehensive seminar explores the practical applications of Retrieval-Augmented Generation (RAG) using LangChain and LangSmith. RAG is a powerful technique that combines the generative capabilities of Large Language Models (LLMs) with the precision of information retrieval, enabling sophisticated question-answering and data interaction applications.
This course emphasizes hands-on learning, equipping participants with the skills to build robust RAG systems for various practical scenarios. You will learn how to use OpenAI without showing them your data!
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