Ever wanted to supercharge your LLM with up-to-date, domain-specific knowledge? This two-hour crash course on Retrieval-Augmented Generation (RAG) with LangChain shows you how to plug in an external knowledge base—no retraining required—to make your AI smarter, sharper, and more relevant. Check out the hands-on tutorials on GitHub at https://github.com/krishnaik06/RAG-Tutorials.
You’ll learn how RAG taps into authoritative data sources before the model generates responses, boosting accuracy and context-awareness for tasks like Q&A, translation, and more. It’s a cost-effective way to tailor giant language models to your organization’s unique needs without blowing through your budget.
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