- OpenAiApi's ObjectMapper is configured to DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES = false
- Use Java Predicate for the SSE_DONE condition used by the takeUntil and filter for the Flux stream.
- Add retryTemplate to OpenAI Chat Client. Make OpenAiApi toleratant to uknown response fields.
- Add spring-ai-bedrock project with support for Cohere, Llama2, Ai21 Jurassic 2, Titan and Anthropic LLM models.
- Add native API clients for CohereChat CohereEmbedding , Llama2Chat, JurassicChat, TitanChat and TitanEmbedding models, supporting both single shot and streaming completions (for the models that allows it)
- Add ITs tests for the native API clients.
- Implement Chat (AiClient) and ChatStreaming (AiStreamingClient) and EmbeddingClients (according to the models’ support for those) for Cohere, Llama2, and Anthropica. Titan and Jurassic2 are WIP.
- Add ITs for the ChatClient, ChatStreamingClient and EmbeddingClient implementations.
- Add Spring Boot Auto-configurations with flexible properties for the Llama2, Anthropic and Cohere modes + ITs
- Add Spring Boot Starter configurations for all Bedrock models.
- Add README documentations for all models.
- Add BedrockAi APIs AOT hints
- Add Ai21Jurassic2ChatBedrockApi, TitanEmbeddingBedrockApi, TitanChatBedrockApi
- Add TitanChatBedrockApi
Resolves#66
- Added autoconfiguration for Redis vector store
- Added spring boot starter for Redis vector store
- Supports portable metadata filter expressions
Fixes#11
The old function got replaced and might get removed in future versions.
To ensure that the store is compatible with Neo4j 5.LATEST, this commit
changes the store function for embeddings to use the 5.13+ function.
The correct baseline database version is already mentioned in the README.
- Introducing a new OpenAiApi native client for OpenAI API and get rid of the theokanning library.
Amongst others the OpenAiApi allows:
- easy base-url configuration (e.g. TAS-AI)
- Flux response for streaming OpenAI results.
- Exposes the http headers containing important metadata
- Pure Spring ecosystem, making it easier for Graal VM
- Define a new AiStreamClient interface returning Flux<AiResponse>
- Refactor OpenAiClient and to use the new OpenAiApi and implement the AiStreamClient.
- Use spring-retry to improve the OpenAI EmbeddingClient stability on 503 error.
- Remove the OpenAI http header interceptor as the OpenAiApi returns ResponseEntity<T> that provides direct access to the headers.
- Refactor the metadata headers and usage extraction.
- Remove redundant and obsolete classes.
- Fix dependency issue with Pinecone, netty-codec-http2 and Spring Boot 3.2
- Add Vertex AI Autoconfigurations for chat and embedding clients.
- Factor out the embeding client dimensions() computation into an abstract parent AbstractEmbeddingClient.
- Add ITs
- Vertex dos.
- Rename Generation#text to content and info to properties.
- Make Generation extend the AbstractMessage and default to ASSISTANT message type.
- Add vevertex-ai project with native api client for generation and embedding.
- Add unit and IT tests for the vertex-ai native client.
- Add AiClient and EmbeddingClient implementation for the the Vertex AI along with ITs.
- 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
