A company has a generative AI application that uses a pre-trained foundation model (FM) on Amazon Bedrock. The company wants the FM to include more context by using company information.
Which solution meets these requirements MOST cost-effectively?
Amazon Bedrock Knowledge Bases is the most cost-effective way to add company-specific context to a pre-trained foundation model without retraining or fine-tuning the model.
✅ Why it's best:
It uses retrieval-augmented generation (RAG) to retrieve relevant company data from connected data sources (e.g., S3) at inference time.
No need for expensive and time-consuming fine-tuning.
Supports real-time contextual responses using external data, ideal for many enterprise use cases.
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nand2804
2 weeks ago