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Description
- Develop a page for benchmarking embeddings generated by different models.
- Implement different metrics for evaluating embedding quality (e.g., cosine similarity, Euclidean distance).
- Visualize nearest neighbor search results.
- Provide tools to evaluate model performance on downstream tasks (classification, clustering).
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