* Change default schema initialization of vector stores from `true` to `false.`
Users need to explicitly opt-in for schema initialization by setting the
`initialize-schema` property on the corresponding vector store.
* Update integration tests
* Update docs
Fixes#907
- introduce copy() method to the ChatOptions.
- make sure that the DefaultChatClientRequestSpec takes a copy of the input chat options to prevent multation.
- add a OpenAiChatClientMultipleFunctionCallsIT to reproduce the problem and verify the solution.
Resolves#1064
Currently, `RedisVectorStoreAutoConfiguration` creates its own
configuration to connect with Redis. This commit reuse
`RedisAutoConfiguration` from spring boot project. It's limited
to Jedis.
* Remove inheritance from HashMap
* No more subclasses per model provider
* Builder class for ChatResponse
* Fix the AbstractResponseMetadata#AI_METADATA_STRING parameter order
* ChatResponseMetadata ignore Null values.
- provides a flexible schema, can be combined with a vector store, and supports time-to-live rows.
- fix initialize-schema docs and so that it actually works.
- move CommonVectorStoreProperties to .vectorstore. package
- add CassandraAutoConfiguration to the AutoConfiguration.imports
- re-assign the model on withSystemInstruction return.
- deprecate the gemini-pro-vision model and replace the default model to gemin-pro-1.5
- update docs.
- improve system message handling implementation.
Resolves#1030
Co-authored-by: Christian Tzolov <ctzolov@vmware.com>
- Moves these from free-text key/value pairs to interface
- Enables programmatic use for evaluation and observability
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
- Add ToolCall to AssistantMessage.
- Rename FunctionMessage to ToolResponseMessage and add id and name fields.
- Refactor OpenAiChatModel's function calling handling.
- Prompt copy now copies the AssistantMessage and ToolResponseMessage contents.
Other ChatModel implementations to adopt these changes in subsequent commits
The spring-ai-spring-boot-autoconfigure module had a few dependencies
that were included in the final JAR instead of being marked as optional.
Also, the PostgreSQL dependency was duplicated.
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
- add new spring-ai-vertex-ai-embedding project.
- add VertexAiTextEmbeddingModel and VertexAiMultimodalEmbeddingMode with related options configuration classes.
- add ITs
- add auto-configuraiton and boot starters.
- register to BOM.
- add documentation.
- add multimodal embedding documentation
- extend the Embedding metdata so that it can keep references to the source document's data, Id, mediatype
Resolves#1013
Related to #1009
- add dedicated groq chat page in the documentation.
Explain how to re-configure the OpenAI client for accessing the Groq chat completion endpoint.
- Doc: order the Chat and Embedding items in alphabetical order
- Add Groq ITs.
Resolves#996
In testing the docker mongodb/atlas container doesn't throw an exception when
calling `mongoTemplate.executeCommand({"createSearchIndexes": ...});`. However,
when using the Atlas service it does and throws a `IndexAlreadyExists` exception.
Added error handling for error code 68 or error code name `IndexAlreadyExists`.
See: https://www.mongodb.com/docs/manual/reference/error-codes/Fixes#910
