- Avoid overlapping package names
Changed in spring-ai-commons package from org.sf.ai.model to org.sf.ai.content
Refactor advisor module name to be spring-ai-advisors-vector-store
Moved advisors into org.springframework.ai.chat.client.advisor.vectorstore
- Created top level memory directory
- Create new module spring-ai-model-chat-memory-neo4j and moved neo4j memory classes out of the vectorstore module
Updated neo4j autoconfiguation
Extract functionality from spring-ai-core into dedicated modules:
- spring-ai-commons: Common utilities and document handling
- spring-ai-model: Core model interfaces and implementations
- spring-ai-vector-store: Vector store abstraction and implementation
This modularization creates clearer responsibility boundaries and allows
consumers to include only what they need. The restructuring will make the
codebase easier to maintain and extend as the project grows.
