RAG (Retrieval-Augmented Generation) combines large language models with external data sources to create more accurate and up-to-date AI applications. This compilation covers seven Udemy courses that teach building RAG applications using Python and LangChain, ranging from beginner to advanced levels. The courses cover topics like vector databases, AI agents, prompt engineering, and production deployment. RAG addresses the hallucination problem in LLMs by grounding responses in reliable, current data sources, making it essential for building trustworthy AI products like chatbots and search systems.

8m read timeFrom medium.com
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