- 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
- 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
- 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
* Fixes misspelling in concepts.adco, 'Prompts' section.
* Uses plural form of AI Models in aiclient.adoc.
* Fixes several grammatical mistakes in vectordbs.adoc.
- Add ContentFormatter and DefaultContentFormatter that can filter the metadata
and format the Document metadata and text according to predefined templates.
- Add content formatter tests
- Allow the TextSplitter to copy the document content-formatter to the children.
When the splitter breaks the parent Document into multiple chunks (e.g.
into a list of children Documents) copy the source content formatter to
the chunks by default. Use the copyContentFormatter flag to enable/disable copping.
- Add TextSplitter IT tests
- Add MetadataExtractors as DocumentTransformers.
- Bump spring-ai project version to 0.7.0-SNAPSHOT
- Configurable metadata-mode for EmbeddingClients
- Make the metadata mode configurable for the EmbeddingClient implementations.
- Use the EMBED mode by default.
Resolves#44
This commit brings support for Neo4j graph database in general,
and uses the vector index functionality available since version 5.11.
Aligned with the existing PgVector store and its tests.
The module creates indexes, if needed, for the vector search and
the identifier of the document object.
Add neo4j to vectordb docs page
Co-authored-by: Michael Simons <michael@simons.ac>
Resolves#19
* Clear and stream line. Inject search distance response as metadata
* Fix similarity threshold by metric type
- Fix the similary search with threshold for L2 and IP types.
- Create config Builder Config (inspired by Neo4jVectorStore impelementation.
- add database-name, metric-type, index-type and index-param configurations.
* update vector store doc and readme
