Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·9h·
Discuss: DEV

Dive into a hands-on 2-hour tutorial on Retrieval-Augmented Generation (RAG) using LangChain (code repo: https://github.com/krishnaik06/RAG-Tutorials). You’ll learn how to hook up your favorite large language model to an external knowledge base so it can fetch up-to-date info before spitting out answers.RAG basically turns your LLM into a domain-specific expert without retraining: it pulls in authoritative data on demand, boosting accuracy, relevance, and usefulness in a cost-effective way.

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