ObjectBox Python ChangeLog

4.0.0 (2024-05-28)

ObjectBox now supports vector search ("vector database") to enable efficient similarity searches. This is particularly useful for AI/ML/RAG applications, e.g. image, audio, or text similarity. Other use cases include sematic search or recommendation engines. See https://docs.objectbox.io/ann-vector-search for details.
The definition of entities (aka the data model) is now greatly simplified
- Type-specific property classes, e.g. name: String, count: Int64, score: Float32
- Automatic ID/UID and model management (i.e. add/remove/rename of entities and properties)
- Automatic discovery of @Entity classes
Queries: property-based conditions, e.g. box.query(City.name.starts_with("Be"))
Queries: logical operators, e.g. box.query(City.name == "Berlin" | City.name == "Munich")
Convenient "Store" API (deprecates ObjectBox and Builder API)
New examples added, illustrating an VectorSearch and AI/RAG application
Stable flat public API provided by single top-level module objectbox
Dependency flatbuffers: Updated to 24.3.50
Adjusting the version number to match the core version (4.0); we will be aligning on major versions from now on.