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What is retrieval-augmented generation, and what does it do for generative AI?
Here’s how retrieval-augmented generation, or RAG, uses a variety of data sources to keep AI models fresh with up-to-date information and organizational knowledge.
Here’s how retrieval-augmented generation, or RAG, uses a variety of data sources to keep AI models fresh with up-to-date information and organizational knowledge.
Learn how your organization can customize its LLM-based solution through retrieval augmented generation and fine-tuning.
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