Get up to speed with Retrieval-Augmented Generation (RAG) in under two hours using Langchain! RAG supercharges your LLM by letting it pull in facts from external, authoritative sources—think company docs, databases or niche wikis—before it crafts a response. No retraining needed, so you stay lean and mean while keeping output fresh and accurate.
By hooking your model up to a curated knowledge base, you slash hallucinations, boost domain-specific relevance and do it all without breaking the bank. Dive into the GitHub repo for hands-on code samples and build your own RAG-powered apps in no time.
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