Complete RAG Crash Course With Langchain In 2 Hours

Get hands-on with Retrieval-Augmented Generation (RAG) in this quick tutorial—no need to retrain your LLMs! Check out the full code on GitHub: https://github.com/krishnaik06/RAG-Tutorials

RAG lets you boost any large language model by pulling in fresh, authoritative info from your own knowledge base before it generates a response. It’s a cost-effective way to keep outputs accurate, relevant, and tailored to your specific domain without breaking the bank (or your compute budget).

Watch on YouTube