The in-memory-h2vector-spring-boot-starter is a Spring Boot starter that provides support for vector fields and vector similarity functions using an in-memory H2 database. All vector operations are performed with java vector-api, leveraging efficient SIMD operations for vector similarity calculations. This starter simplifies the integration of vector-based operations into your Spring Boot applications.
- In-memory vector database : Provides an in-memory H2 'extended' database for storing and querying vector fields.
- Simple integration: Entities as usual - easily add vector fields to your entities using JPA.
- Vector Similarity Functions: Provides pre-configured functions for vector similarity operations. currently supports cosine, and l2 similarity.
- Jdk 22+, with JVM arg
--add-modules=jdk.incubator.vector
added.
To include this starter in your Spring Boot project, add the following dependency to your pom.xml
:
<dependency>
<groupId>io.github.benayat</groupId>
<artifactId>in-memory-h2vector-spring-boot-starter</artifactId>
<version>0.0.4</version>
</dependency>
To define a vector field, you need to annotate a float[] field with @LOB to store the vector as a byte array, and @Convert to use a convert from float[] to byte[] and vice-versa.
@Getter
@NoArgsConstructor
@AllArgsConstructor
@ToString
@Builder
@Entity
public class TextRecord {
@Id @GeneratedValue(strategy = GenerationType.AUTO)
private long id;
@Lob
@Convert(converter = FloatArrayToByteArrayConverter.class)
private float[] vector;
private String text;
}
and then you can use any JPA repository to query the vector field for k-nearest neighbors using the cosine similarity function, with a native query.
public interface TextRecordRepository extends JpaRepository<TextRecord, Long> {
@Query(value = "SELECT * FROM text_record record ORDER BY cosine_similarity(record.vector, :vector) DESC LIMIT :k", nativeQuery = true)
List<TextRecord> findTopKByVectorSimilarity(@Param("vector") byte[] vector, @Param("k") int k);
}
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! Please open an issue or submit a pull request for any changes.
Benaya Trabelsi.
email: [email protected]