Also
- fix a MistralAiApi (and OpenAiApi) issue just introduced by Mistral API
- change the auto-config properties prefix from spring.ai.mistral.* to spring.ai.mistralai.*
- minor doc references updates.
- Implement QdrantVectorStore.
Uses a custom parser for converting Spring AI metadata(Map<String, Object>) to Qdrant GRPC payload.
- Implement Qdrant Expression Filter support.
Uses a custom parser for converting Spring AI filters to Qdrant-compatible GRPC filters.
- Add ITs using testcontainers.
- Add antora docs adrant.adoc.
- Add Qdrant vector store auto-configuraton and boot starter.
Additional (review) change:
- Fix poms parent to 0.8.1-SNAPSHOT.
- Rename ObjectFactory into QdrantObjectFactor.
- Rename ValueFactory into QdrantValueFactory.
- Move the org.springframework.ai.vectorstore package into org.springframework.ai.vectorstore.qdrant.
- Add missing Autoconfigure definition.
- Add missing license and JavaDocs.
- Minor code style improvmentes.
- Move the qdrant version to the main pom
- Add QdrantVectorStoreAutoConfigurationIT
- Remove guava dependency
- Improve gdrant.adoc conent and structure.
- Remove the grpc-protobuf dependency
Resolves#331
- Extend the Spring AI Message with getMediaData() : List<MediaData>
MediaData is a pair of MimeType and data of type Object.
Message#getContent() return text only.
- VertexAI Gemini Support
- implement VertexAiGeiminChatClient for ChatClient and StreamingChat client and support for MediaData content.
add IT tests for Chat, Streaming and Multimodality
- add Auto-configuration + ITs
- add Gemini Spring Boot starter.
- add clients and boot starters to the Spring AI BOM.
- add Anotra documentation for the Gemini chat client.
- update gemini to latest 26.33.0 BOM.
- add vertex ai gemini dependencies to the BOM.
- add Vertex AI Gemini API Function Calling support
- add Gemini API Function Calling Streaming support
- add vertex ai gemini function calling documentation
- factor out the Function Calling functionality into common abstraction used by OpenAI, Azure and Gemini.
- group the VertexAI documentation under a common parent
- add PortableFunctionCallingOption that implements FunctionCallingOptions and ChatOptions and provide builder for it.
- remove some deprecated code.
- allow authorization with GoogleCredentials form json file.
- add AOT support for VertexAI Gemini.
- move legacy Vertex AI into VertexAI PaLM2.
- better handling for empty chat responses.
- update the Gemini version to latest 26.33.0. This required lifting the protobuf-java to 3.25.2 as well.
- fix a bug for handling System messages with Gemini.
- Implement Azure OpenAI Function Calling
Uses the same the common abstractions used by OpenAI and Gemini: FunctionCallingOptions and AbstractFunctionCallSupport
Property is of format `*.enabled=` and is true by default.
Note: the Bedrock clients are disabled by default.
- Add deactivation support for Vertex AI PaLM2 clients
- Add deactivation support for Azure OpenAI clients
- Add deactivation support for huggingface chat client
- Add deactivation support for Ollama clients
- Add deactivation support for OpenAI clients
- Add deactivation support for Stability Image and PostgresML clients
- Add deactivation support for ONNX Transformers Embedding client
Resolves#363
* Added instructions on how to set up and use the 'Deployment Name' for Azure AI applications in the documentation.
* Corrected the default chat model from 'gpt-3.5-turbo' to 'gpt-35-turbo' for alignment with Azure's naming conventions.
The text-embedding-3-small has the same dimensions as previous text-embedding-ada-002.
The text-embedding-3-large has higher dimensionality not supported by some Vector Stores.
To make the Neo4j module more future-proof, this commit
replaces the old vector index creation syntax with the new style.
Also, the new pattern is in line with the standard Neo4j index creation
and supports the _IF NOT EXISTS_ clause to run idempotent.
This allows us to remove the preceding call to check if the index exists.
As a consequent, the module will require Neo4j to be at least on version 5.15.
- Remove the SpringAiFunction annotation in favour of palin Functino Beans, @Description annotation and JacksonClassAnnotation.
- Update the function calling documentation to reflect latest changes.
- Add a new openai option (and related property): spring.ai.openai.chat.options.beanFunctions.<function-name>.<description>
Map of bean names and their descriptions to register as function callbacks.
- Refactor the OpenAiAutoConfiguration to resolve and register the beans in beanFunctions.
- Add dependency on Spring Cloud Function to use the FunctionContextUtils and FunctionTypeUtils
Those utilites help to resolve the function input type signature.
- Add DefaultToolFunctionCallback class for manually wrapping Functions.
- Update the ITs.
- Built on top of the existing ToolFunctionCallback utilites.
- Organized as part of auto-configuration project under the /common/function
package to be reusable for different model implementations.
- Add OpenAI support for the SpringAiFunction annotation.
- Update the OpenAI function calling documentation.
- Add ITs
Co-Authored-By: Christian Tzolov <ctzolov@vmware.com>
