- Add `withContentFieldName` and `withDistanceMetadataFieldName` to Pinecone Config Builder
- Add `spring.ai.vectorstore.pinecone.contentFieldName` and `spring.ai.vectorstore.pinecone.distanceMetadataFieldName`
properties to the auto-config
- Default content field name: "document_content", distance field: "distance"
- Update tests and docs
Resolves#882
- Extend the audio speach/transcription properties to allow disabling autoconfiguration for the audio and transcription models.
This makes the settings consistent across the different OpenAI client properties.
- Add audio auto-conf activation tests
Co-authored-by: Christian Tzolov <ctzolov@vmware.com>
- knn instead of script_score, removed initialization
- only using normalized similarities, adjusted unit test
- making l2norm's distances consistent with others
- update dependency version and docs
- upate autoconfigure ITs
- replace RestTemplate by RestClient but default to SimpleClientHttpRequestFactory as Chroma seems to have issues with HTTP2.
- update the documentation.
- update the ghcr.io/chroma-core/chroma version to 0.5.0. Fix the withBasicAuthCredentials.
Co-authored-by: Christian Tzolov <ctzolov@vmware.com>
- implement OpensSearchVectorStore
- add opensearch auto-configuration and boot starter
- add documentation for OpenSearch VectorStore
- add bom dependecies
- align with to new Spirng AI API
- 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.
