* The Chroma vector store config property prefix uses .store at the end
which is not consistent with the other vector stores - fixing this.
* Update the upgrade-notes.adoc
* Extend ChatResponseMetadata for Anthropic (blocking, streaming)
* Add ChatResponseMetadata for Mistral AI (blocking)
* Extend ChatResponseMetadata for OpenAI (blocking)
* Deprecate gpt-4-vision-preview and replace its usage in tests because OpenAI rejects the calls (see: https://platform.openai.com/docs/deprecations)
Fixes gh-936
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
Currently, Docker Compose and Testcontainers support `CHROMA_SERVER_AUTHN_CREDENTIALS`,
which is provided by Chroma 0.5.x. Previous versions use `CHROMA_SERVER_AUTH_CREDENTIALS`
instead.
- OpenAiApi: add StreamingOptions class and ChatCompletionRequest#streamingOptions field.
- add OpenAiChatOption#withStreamingUsage(boolean) to set/unset the StreamingOptions.
- add a boolean (get/set)StreamUsage() to OpenAiChatOptions that internally set the SstreamOptions.
Later allows the "spring.ai.openai.chat.options.stream-usage" property.
- update the OpenAI property documentation.
Co-authored-by: Christian Tzolov <ctzolov@vmware.com>
- upadate bedrockruntime version to 2.26.7 and align it with aws sdk dependecy.
- minor ITs configuration, consistency and statbility fixes
Use the EnvironmentVariableCredentialsProvider instead of the Profile credential provider.
- update the Bedrock getting started documentation.
- update the Genemi Prerequisites docs.
Currently, in order to use an OpenSearch instance provided by AWS,
additional steps are needed. This commit introduces the required
configuration.
Add new starter and update docs
- Added additional support for ZhiPuAi models including vision model GLM-4V
- Default model changed to GLM_4_Air and update documentation
- Added additional unit and integration tests
- Add documentation for vision model
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>
- Adds spring boot auto-configuration support for GemFireVectorStore
- Adds integration test GemFireVectorStoreAutoConfigurationIT
- Includes gemfire-testcontainers in integration tests
- Adds unit test GemFireVectorStorePropertiesTests
- Refactors GemFireVectorStore.java extracting GemFireVectorStoreConfig.java
- Renames spring-ai-gemfire to spring-ai-gemfire-store
- Adds GemFireConnectionDetails
- Adds GemFireVectorStoreProperties with default values
- Remove gemfire-release-repo maven repository
Co-authored-by: Louis Jacome <louis.jacome@broadcom.com>
Co-authored-by: Jason Huyn <jason.huynh@broadcom.com>
