VECTR8
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- Create a help and support section with comprehensive documentation and tutorials. - Include in-app help and tooltips for guidance.
- Display real-time metrics on resource usage (CPU, GPU, memory) during embedding and database creation. - Provide visual indicators of performance bottlenecks. - Implement alerts for high resource usage.
- Implement user authentication using standard protocols (e.g., OAuth, JWT). - Create role-based access control to manage permissions for different user roles. - Develop a secure login and registration system.
- Add version control to track changes in datasets. - Enable users to revert to previous versions of datasets.
- 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....
- Implement regex functionality to remove noisy tokens (e.g., new lines, special characters). - Leverage LLMs to assist users in cleaning up their unstructured data. - Provide options for data...