Oasysdb

- Add a new method `Collection::insert_many` to insert multiple vector records into the collection at once. This method is more optimized than using the `Collection::insert` method in a loop.

Contributors

- noneback
- edwinkys

Full Changelog

[v0.3.0...v0.4.0](https://github.com/oasysai/oasysdb/compare/v0.3.0...v0.4.0)

What's Changed

- Add support for boolean metadata type. This allows full compatibility with JSON-like object or dictionary metadata when storing vector records in the collection.
- We optimize the database save and get collection operations performance by 10-20% by reducing the number of IO operations. Also, the save collection operation is now atomic which means that the collection is saved to the disk only when the operation is completed successfully.
- We launch our own documentation website at [docs.oasysdb.com](https://docs.oasysdb.com) to provide a better user experience and more comprehensive documentation for the OasysDB library. It's still a work in progress and we will continue to improve the documentation over time.

Contributors

- edwinkys

Full Changelog

[v0.6.0...v0.6.1](https://github.com/oasysai/oasysdb/compare/v0.6.0...v0.6.1)

What's Changed

- **CONDITIONAL BREAKING CHANGE**: We remove support for dot distance metric and we replace cosine similarity with cosine distance metric. This change is made to make the distance metric consistent with the other distance metrics.
- The default configuration for the collection (EF Construction and EF Search) is increased to a more sensible value according to the common real-world use cases. The default EF Construction is set to 128 and the default EF Search is set to 64.
- We add a new script to measure the recall rate of the collection search functionality. And with this, we improve the search recall rate of OasysDB to match the recall rate of HNSWLib with the same configuration.

sh
cargo run --example measure-recall


- We add a new benchmark to measure the performance of saving and getting the collection. The benchmark can be run by running the command below.

sh
cargo bench


Contributors

- edwinkys

Full Changelog

[v0.5.1...v0.6.0](https://github.com/oasysai/oasysdb/compare/v0.5.1...v0.6.0)

What's Changed

We add a new method `Collection.filter` to filter the vector records based on the metadata. This method returns a HashMap of the filtered vector records and their corresponding vector IDs. This implementation performs a linear search through the collection and thus might be slow for large datasets.

This implementation includes support for the following metadata to filter:

- `String`: Stored value must include the filter string.
- `Float`: Stored value must be equal to the filter float.
- `Integer`: Stored value must be equal to the filter integer.
- `Object`: Stored value must match all the key-value pairs in the filter object.

We currently don't support filtering based on the array type metadata because I am not sure of the best way to implement it. If you have any suggestions, please let me know.

Contributors

- edwinkys

Full Changelog

[v0.5.0...v0.5.1](https://github.com/oasysai/oasysdb/compare/v0.5.0...v0.5.1)

What's Changed

- **BREAKING CHANGE**: Although there is no change in the database API, the underlying storage format has been changed to save the collection data to dedicated files directly. The details of the new persistent system and how to migrate from v0.4.x to v0.5.0 can be found in this [migration guide](migrations/0.4.5_to_0.5.0.md).

- By adding the feature `gen`, you can now use the `EmbeddingModel` trait and OpenAI's embedding models to generate vectors or records from text without external dependencies. This feature is optional and can be enabled by adding the feature to the `Cargo.toml` file.

toml
[dependencies]
oasysdb = { version = "0.5.0", features = ["gen"] }


Contributors

- edwinkys

Full Changelog

[v0.4.5...v0.5.0](https://github.com/oasysai/oasysdb/compare/v0.4.5...v0.5.0)

What's Changed

- Add insert benchmark to measure the performance of inserting vectors into the collection. The benchmark can be run using the `cargo bench` command.
- Fix the issue with large-size dirty IO buffers caused by the database operation. This issue is fixed by flushing the dirty IO buffers after the operation is completed. This operation can be done synchronously or asynchronously based on the user's preference since this operation might take some time to complete.

Contributors

- edwinkys

Full Changelog

[v0.4.4...v0.4.5](https://github.com/oasysai/oasysdb/compare/v0.4.4...v0.4.5)