In just two hours, this crash course walks you through building a Retrieval-Augmented Generation pipeline with Langchain—check out the full code and examples at https://github.com/krishnaik06/RAG-Tutorials.
RAG supercharges any LLM by pulling in fresh, domain-specific info from an external knowledge base before it answers, so your outputs stay accurate, relevant, and cost-effective—all without needing to retrain the model.
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