spring-ai

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Muthukumaran Navaneethakrishnan f0ca61252b Add support for customizable PgVectorStore schema, table, and index names (#747 )

This change allows users to specify custom names, facilitating management of multiple vector databases within a single database instance.

 Key changes:
 - Implement configurable schema, table, and index names for PgVectorStore
 - Add properties to set custom schema and table names
 - Introduce optional schema/table & field validation for custom configurations
 - Include additional tests for new configurations and existing deployments

 Additional improvements:
 - Rename properties to schemaName, tableName, and schemaValidation
 - Update pgvector documentation with new properties
 - Add schema/table name tests to PgVectorStoreAutoConfigurationIT and PgVectorStorePropertiesTests
 - Create standalone PgVectorSchemaValidator class for schema/table validation
 - Add missing 'CREATE SCHEMA IF NOT EXISTS' when initializeSchema=true
 - Remove redundant code and classes

 Resolves #747

Co-authored-by: Christian Tzolov <ctzolov@vmware.com>

2024-06-21 11:02:22 +02:00

spring-ai-azure-store

fix: typo

2024-06-03 15:00:19 +02:00

spring-ai-cassandra-store

Rename all Embedding Client doc and variables occurrences into Embedding Model

2024-06-16 21:24:03 +02:00

spring-ai-chroma-store

Support ChromaDB's CHROMA_SERVER_AUTHN_CREDENTIALS env var in Docker Compose and Testcontainers

2024-06-19 16:08:57 +02:00

spring-ai-elasticsearch-store

Update Elasticsearch Store: Use KNN insettad of script_score