Retrieval Augmented Generation (RAG) and in-context learning have been exciting developments in the field of AI since about 2020. These techniques promised to revolutionize how enterprises and app developers leverage customer data — allowing them to tap into powerful models without retraining or fine-tuning. By simply “feeding” the model relevant data during the prompt, companies could instantly apply AI to their own data. That’s faster and easier to get started from a customer’s…
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https://www.madrona.com/rag-is-not-enough-ai-data-architecture/