- Update the documentation references to replace the artifact ID name change for the model starters
Signed-off-by: Ilayaperumal Gopinathan <ilayaperumal.gopinathan@broadcom.com>
- Updated `org.springframework.boot.autoconfigure.AutoConfiguration.imports` to include MariaDB vector store auto-configuration
- Created MariaDB Vector Store autoconfiguration integration tests (`MariaDbStoreAutoConfigurationIT`)
- Added MariaDB store properties configuration and tests (`MariaDbStorePropertiesTests`)
- Introduced new Maven modules:
- `spring-ai-mariadb-store`: Core MariaDB vector store implementation
- `spring-ai-starter-mariadb-store`: Spring Boot starter for MariaDB vector store
- Added `MariaDBFilterExpressionConverter` to support JSON-based metadata filtering in MariaDB
- Implemented filter expression conversion for MariaDB vector store queries
- Added README.md with documentation link for MariaDB Vector Store
- Updated project dependencies to include MariaDB JDBC driver and test containers
- Configured integration testing with TestContainers for MariaDB
- Added observability support for MariaDB vector store operations
- Add new Maven profile 'ci-fast-integration-tests' for running selective ITs
- Remove redundant vector store skip flags from properties section
- Update maven-failsafe-plugin to version 3.5.2
- Configure test exclusions for various components:
- Most model integration tests (Anthropic and OpenAI)
- Most vector store tests (except PgVector and Chroma)
- Most auto-configuration tests
- All test containers and docker compose tests
- AI evaluation tests
- Convert the docker-compose tests into ITs
- Convert the testcontainers tests into ITs
- Updated README.md
- Explain the new profile and also the new integration tests repo
- Describe ways to run integration tests for specific modules
- Add badge for https://github.com/spring-projects/spring-ai-integration-tests
- Disable project-wide Checkstyle checks to unblock development
- Add documentation for enabling Checkstyle locally
- Fix remaining checkstyle violations in current codebase
Fixes#1669
All output parser functionality has already been migrated to the converter package
since milestone M1.
Changes:
- Replace all instances of 'parser' with 'converter' in variable names and test cases
- Delete (pre M1) deprecated parser package and all associated classes
- Remove Output Parsers section from README.md
- Update Javadoc comments to reference converters instead of parsers
* Added Spring Boot Starter for Spring AI Hugging Face
* Updated documentation with instructions using the starter dependency
* Fixed naming inconsistencies in the docs for Hugging Face
Fixes gh-838
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
* Move ChatClient and related classes into the chat.client package
* Move ChatModel and related class into the chat.model package
* Smaller refactorings to remove DSM cycles
* Update README.md
* Rename the ModelClient class hierarchy into Model:
- Rename ModelClient into Model. Update all code and doc references.
- Rename ChatClient to ChatModel. Update all ChatClient suffixes and chatClient fields and variables in code and doc.
- Rename EmbeddingClient into EmbeddingModel. Update the XxxEmbeddingClient class and variable suffixes and embeddingClient variables and fields in code and docs.
- Rename ImageClient into ImageModel.
- Rename SpeechClient into SpeechModel.
- Rename TranscriptionClient into TranscriptionModel.
- Update all javadocs and antora pages. Update the related diagrams.
* Create fluent API in ChatClient interface that now includes streaming support
* Add OpenAI FunctionCallbackWrapper2IT auto-config tests.
* Add ChatClientTest mockito testing.
* Add ChatModel#getDefaultOptions(), and remove @FunctionalInterface
* ChatModel enums extend the new ModelDescription interface.
* Implement fromOptions copy method in every ChatOptions implementation.
* Extend ChatClient to use the model default options if not provided explicitly.
* Update readme to provide guidance on how to adapt to breaking changes.
Co-authored-by: Christian Tzolov <ctzolov@vmware.com>
Co-authored-by: Mark Pollack <mpollack@vmware.com>
- Old OutputParser, BeanOutputParser, ListOutputParser and MapOutputParser classes are depredated
in favour of the new StructuredOutputConverter, BeanOutputConverter, ListOutputConverter and
MapOutputConverter implementations.
Later are drop-in replacements for the former ones, and provide the same functionality.
- Keep the existing parser package and classes for backward compatibility.
- Adjust the PromptTemplate for backward compatibility
- Update all existing tests to use the new Structured Output API.
- Improve the documentation for structured outputs.
- 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
Add dedicated property classes for the Chat and the Embedding models and use a common connection properties for both:
- OpenAiConnectionProperties (baseUrl, apiKey) with prefix spring.ai.openai.*.
- OpenAiChatProperties (model, temperature) with prefix spring.ai.openai.chat.
- OpenAiEmbeddingProperties (model) with prefix spring.ai.openai.embedding.*
Additionally the OpenAiChatProperties and OpenAiEmbeddingProperties can optionally override the OpenAiConnectionProperties
so that we can use the Chat model from one Provider and the Embedding model from another.
Resolves#229
- fix all class names with AiClient or AiStreamingClient name prefixes.
- fix all variables or method name prefixes.
- fix the javadocs, readmes and refference documentation.
- Implement a native client (OllamaApi) to leverage chat/streaming and embedding endpoints.
- Add a OllamaChatClient implementing the ChatClinet and StreamingChatClinet interfaces.
- Add a OllamaEmbedding clinent that impl. the EmbeddingClinet interface.
- Add AutoConfiguraitons with properties for the chat and the embedding clients.
- Add unit and ITs for the OllamaApi, OllamaChatClient, OllamaEmbeddingClient, and related auto-configuraitons.
- Remove the old ollama impl. classes and tests.
- minor fixes to the bedrok test methods names.
