Artificial Intelligence

Retrieval-Augmented Generation

Retrieval-augmented generation is a pattern in which relevant material is retrieved from a knowledge source and supplied to a model so its response is grounded in that material.

Retrieval-augmented generation is a pattern in which relevant material is retrieved from a knowledge source and supplied to a model so its response is grounded in that material.

How retrieval-augmented generation works

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Indexing and chunking enterprise knowledge

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Retrieval quality

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Architectural considerations

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Limitations

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Planning work involving retrieval-augmented generation?

Tell us what you are trying to build or fix. We will tell you what it takes.

Home Work