Today’s large language models (LLMs) are increasingly complex, but often, the data they use to generate responses doesn’t extend beyond their training — meaning it can often be weeks or even months out of date. This has made retrieval-augmented generation (RAG) essential for modern enterprise, as it enables up-to-date, company-specific outputs. Still, retrieval presents its […]
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