- autoconfigure setup
- add post bean initialization and create method
- add embedding field
- create collection add nested field options
- add typesense tests
- use embedding variable instead of word vec
- check in runtime the number of documents in the collection
- add typesense expression converter
- add filter tests. add update document test and search with threshold test
- distance threshold and add distance key into metadata
- add typesesne boot starter
- add typesense docs
- add client properties in autoconfigure
- add embedding dimension method
- add typesense vector store autoconfiguration tests
- add docs to nav.adoc and vectorsdb.adoc.
- fix module name.
- move the expression converter to the typesense project.
* Align model naming with Mistral AI documentation
* Add missing model for mixtral 22B
* Deprecate mistral-medium-latest because Mistral will remove it soon
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
* Added tips for running PGvector as a Spring Boot dev service
* Fixed typos in code snippets
* Updated the PGvector image name
* Improved syntax
Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
Some LLM providers, such as Groq and OpenRouter, are marketed as OpenAI API compatible.
However, they often lack full support for the API specification.
This PR allows to use the simpler message format if no media artifacts are assigned.
* 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>
Enable handling multiple function calls at once.
Change the Gemini model names from preview to gemini-1.5-pro-001 and gemini-1.5-flash-001.
Simplify the Gemini function calling ITs. drop the multi-turn instructions.
- update the Gemini function calling ITs to include a system message with dedicated calling instructions.
- fix a type with few Gemini ChatModel enum names.
- re-enable all Gemini ITs.
- Fix a bug in Azure streaming response. Ensure that the merge functionality resolves the right
object constructors
- drop the @ConditionalOnMissingBean for the ChatClientAutoConfiguration#chatClientBuilder .
If multiple chat model starters are added to the POM this will fail as the ChatClient.Builder
auto-config can handle only one chat model. Then the spring.ai.chat.client.enabled=false must be set.
- Add missing AutoConfiguration imports for SpringAiRetryAutoConfiguration.class, RestClientAutoConfiguration.class,
and WebClientAutoConfiguration.class to the AnthropicAutoConfiguration, MistralAiAutoConfiguration,
OllamaAutoConfiguration,VertexAiPalm2AutoConfiguration.
- change the OpenAi and Azure OpenAi default chat models to gpt-4o
- clean and improve the stability of various ITs
ChatClient already provides the .chatResponse() method to return the entire ChatResponse instance.
It also provides a set of overloaded .entity(Type) methods to provide Type-converted responses.
The new .responseEntity(Type) method returns a ResponseEntity<ChatResponse, T> instance, encapsulating
both the ChatResponse and the requested Type-converted response entity.
This change allows for more flexibility when handling different response types and facilitates
easier integration with other components that expect ResponseEntity instances.
Now the ChatClient contains only the Spec interfaces while
all implementations are moved to the DefaultChatClient
and the DefaultChatModelBuilder classes.
