v0.4.4

What's Changed

• Maximize compatibility with the standard library error types to allow users to convert OasysDB errors to most commonly used error handling libraries such as anyhow, thiserror, etc.
• Add conversion methods to convert metadata to JSON value by serde_json and vice versa. This allows users to store JSON format metadata easily.
• Add normalized cosine distance metric to the collection search functionality. Read more about the normalized cosine distance metric here.
• Fix the search distance calculation to use the correct distance metric and sort it accordingly based on the collection configuration.
• Add vector ID utility methods to the VectorID struct to make it easier to work with the vector ID.

Additional Notes

• Add a new benchmark to measure the true search AKA brute-force search performance of the collection. If possible, dealing with a small dataset, it is recommended to use the true search method for better accuracy. The benchmark can be run using the cargo bench command.
• Improve the documentation to include more examples and explanations on how to use the library: Comprehensive Guide.

Contributors

• @edwinkys

Full Changelog

v0.4.3...v0.4.4