- 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
- Implement MistrealAiApi as a REST client for the Mistral REST API.
- Add MistralAiChatClient implementing ChatClient and StreamingChatClient.
Add MistralAiChatOptions implementing ChatOptions.
- Add MistralAiEmbeddingClient impelementing EmbeddingClient.
Add MistralAiEmbeddingOptions implementing EmbeddingOptions.
- Add Unit and IT tests for api and clients.
- Add mistral auto-configuration and boot strarter
- update auto-config property for Mistral AI embedding client
- update auto-config property for Mistral AI embedding client
Additional, review changes:
- Add missing license headers.
- Fix the intialization of defaul options.
- Code re-formatting to improve the readabitliy.
- Many improvements
- Add missing sine annotations
- Remove stream field from MistralAiChatOptions. This handled internally.
- Add MistralAiApi ChatModel and EmbeddingModel enums.
- Add MistralChatClientIT for testeing chat, stream , parsers...
- Add MistralAiApiIT tests
- Refactor and streamline the MistralAiAutoConfiguration.
- Add MistralAiAutoConfigurationIT
Currently, test is disable because in every run the image should
be downloaded and then pull the model. Now, taking advantage of
Testcontainers and a GHA, a new image is created on-the-fly with
the model in it and then cached, so, next executions will reuse the
cached image instead.
Fixes#121
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.
This change addresses and fixes BeanOutputParserTest failures observed
on the Windows platform by ensuring consistent line ending normalization
across different operating systems.
Fixes#279
