- Add NOT expression type to the portable Filter.Expression model.
- Add NOT to the Antlr grammar and implement the related parser listener method to generate Filter NOT expressions.
- Add NOT support to the filter programming DSL.
- Implement FilterHelper.negation for logically transform any boolean expression with NOT statements into
semantically equivalent one with NOT applied to the leaf expressions.
- Add tests for paresers, converters and vectorsores ITs.
- Move the filter IN/NIN expansion logic to the FilterHelper
- Factor out the filter IN/NIN boolean expression expansion logic out of Weaviate up to the FilterHelper.
- add in/nin expantion FilterHelper tests
* Changes dependency on spring-ai-openai to spring-ai-core as a required dependency.
* Include dependency on Jakarta Servlet API.
* Include dependency on Spring Web MVC.
* Include dependnecy on OkHttp3 MockWebServer.
* Add common AI test configuration using mock objects.
Rebase OpenAI mock test configuration on the shared components inside spring-ai-test.
* Renames OpenAiMockTestConfiguration to MockOpenAiTestConfiguration.
* Refactor MockOpenAiTestConfiguration removing mock infrastructure beans and import MockAiTestConfiguration class.
* Declare test dependency on spring-ai-test.=
* Integrate complete AI metadata implementation for Microsoft Azure OpenAI.
This new Spring @Configuration class enables AI developers to test against the AI provider's REST API by mocking Web service endpoints and returning canned AI responses.
This allows the AI provider client (Java) library to be exercised in the same manner as the production application, or even Spring AI framework code without modification.
Closes#122
- Add Weaviate Vector Store implementation.
- Implement a converter of portable Filter.Expressions into native, Weaviate GraphQL Were expressions.
- Support for Weaviater schema auto-registration of filtarable metadata fields.
- Add auto-configration, spring properties and tests.
- WeaviateVectorStore ITs.
- Add README.md
Resolves#100
* Define GenerationMetadata property in AiResponse.
* Add OpenAI implementations of AiMetadata, RateLimit and Usage interfaces.
* Add REST Assured JsonPath dependency to spring-ai-openai module.
* Add OkHttp dependency to spring-ai-openai module.
* Add OkHttp Interceptor to parse OpenAI rate limit metadata from HTTP headers.
* Add OkHttp MockWebServer dependency to spring-ai-openai module, test scope
* Add Jakarta Servlet API dependency to spring-ai-openai module, test scope
* Add Spring Web MVC dependency to spring-ai-open-ai module., test scope
* Define OpenAI API response headers in an Enum.
* Add OpenAI test configuration using mock objects.
* Add integration test to assert successful extraction of OpenAI API response metadata.
* Include Spring Boot auto-configuration for (conditional) OpenAI metadata collection.
* Edit documentation and include information on AI metadata collected by Spring AI.
* Provide AI metadata implementation for Microsoft Azure OpenAI Service.
* Capture optional PromptMetadata in AiResponse.
* Define metadata for an AI generation choice.
* Capture AI choice metadata in Generation.
* Integrate ChoiceMetadata into AiResponse returned by OpenAI.
Fixes#98
Though the property names are different, for example 'spring.ai.openai.api-key' and 'spring.ai.openai.embedding-api-key,
by introducing an additional property namespace, 'spring.ai.openai.embedding.*', this enables the configuration of embeddings
to be properly encapsulated and related in Spring Boot fashion.
Closes#102
* Apply consistent treatment to the organization of the source code.
* Fix Logger statements missing message placeholder formatting.
* Simplify logic using Java 17 syntax where applicable.
Closes#101
- Use Azure AI Search end point to implement the VectorStore interface.
- Add ITs and README.
- Create/update vector index on after properties set.
- Add boot auto-configuration and ITs.
- Add boot starter for the vector store.
Resolves: #82
- Implement ChromaApi client, based on Chroma REST API.
- Implement ChromaVectorStore, including support for filter expression conversion.
- Common VectorStoreUtil class to share to/from Float/Double list/array convertion as well as Json/Map convertions.
- Add ITs including for Basic Auth and Token autheticatios.
- Add ChromaApi security support for BasicAuth and Token.
- Fix an issue with Text filter expression parser, related to double-quoted identifiers.
- Add Chroma README.md.
- Add Chroma boot autoconfiguration
Resolves# #86
- Collapses all VectorStore similiaritySearch methdos into one with SearchRequest builder.
- Fix all affected code and tests.
- Bump the project version to 0.7.1.
- Add tests
- Add autoconfigurations for milvus, pinecone and pgvecor stores.
- Improve and unify the VectorStore ITs.
- Make use of TrasformersEmbeddingClient for auto-configurations ITs.
* Clean up README.md files in Milvus, PGvector, and Pinecone modules.
* Apply consistent treatment of 'model' when used as an AI concept, e.g. AI model or Embedding model.
* Apply consistent treatment of 'vector store' and 'vector database' references.
* Simplify sentence structures.
Closes#79
- Extend the VectorStore with similaritySearch using metadata filters using internal DSL and external DSL using Antlr
- Metdata support for Pinecone, Milvus, and pgvector vector stores
- PGVectorStore uses explict ::jsonpath casting for the pgvector filter expression to avoid injections
- Add unit tests for the filter converters, parser and DSL.
- Add ITs for the 3 vector stores
Resolves: #75
* Fixes misspelling in concepts.adco, 'Prompts' section.
* Uses plural form of AI Models in aiclient.adoc.
* Fixes several grammatical mistakes in vectordbs.adoc.
