Grounded Generation

For AI agents: docs.octen.ai/capabilities/grounded-generation.md

Generation models create from training data, and anything outside it suffers. Something real, such as a product, a place, or an event, drifts from the facts. Anything that appeared after training is simply unknown to the model. An unfamiliar subject or a specific action comes out invented rather than accurate. Octen Grounded Generation searches first: it retrieves the text, images, and videos that show the subject, then generates images and videos grounded in that material. With real references to work from, the output is simply better.

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Why Grounded Generation

• Faithful to the real thing. Generation is anchored to retrieved web references, so real subjects look like themselves.
• Current by default. References come from live search, so generated visuals reflect how things look now, not at training time.
• One step from prompt to visual. Search and generation run as a single workflow, with no retrieval pipeline to build on your side.

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How It Works

1. Send a generation prompt.
2. Octen searches the web for the text, images, and videos relevant to the prompt.
3. A generation model creates images or videos grounded in the retrieved references.

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Scenarios

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Fact-grounded visuals

Visuals of real subjects, such as products, places, or events, generated from real web references instead of the model’s memory.

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Illustrated explainers

Turn an answer, article, or topic into supporting images or videos grounded in what the web actually shows.

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Next Steps