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Implement Trend Analysis with Weaviate

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Linked challenge: Multimodal Content Generation Agent for AI Video Platform

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Linked challenge
Multimodal Content Generation Agent for AI Video Platform

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Design and implement a component within your Google ADK agent that utilizes Weaviate vector database to store and query trending topics, popular short-form video formats, and user engagement data. Show how the agent would embed new trend data into Weaviate and then retrieve relevant context for a new video concept request. Provide Python code snippets for interaction with Weaviate and how the retrieved context informs Gemini 2.5 Pro's generation.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.