feat : adds metadata filtering

[rajadilipkolli]

No description provided.

[coderabbitai]

Walkthrough

The recent updates across several Java files primarily enhance functionality by integrating user metadata and refining API responses. Key changes include the addition of user IDs in text segments, the introduction of optional user parameters in query methods, and the use of advanced filtering techniques in embedding search methods. Additionally, there's a new configuration for managing date functions and a modification in chat settings in the AI services.

Changes

Files	Changes
.../config/Initializer.java, .../config/SwaggerConfig.java	Import and annotation adjustments. Metadata added to text segments.
.../controller/QueryController.java, .../service/PgVectorStoreService.java, .../service/CustomerSupportService.java	Enhanced query methods with optional userId and advanced search functionalities using new classes.
.../test/java/.../TestQueryController.java	New test methods for querying with and without metadata.
.../llmragwithspringai/config/FunctionConfiguration.java, .../llmragwithspringai/service/AIChatService.java, .../llmragwithspringai/resources/application.properties	Configuration and service changes for AI chat functionalities and properties adjustment.

🐇✨
In the code's garden, changes bloom bright,
Metadata and queries dance in the light.
Each line a step, each function a leap,
Through fields of Java, our updates sweep.
Cheers to the coders, with each clever tweak! 🌼🚀
🐇✨

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[coderabbitai]

Actionable comments posted: 0

Review Details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 03abbc7 and d4b8895.

Files selected for processing (9)

• embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/config/Initializer.java (2 hunks)
• embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/config/SwaggerConfig.java (1 hunks)
• embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/controller/QueryController.java (1 hunks)
• embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/service/PgVectorStoreService.java (2 hunks)
• embeddingstores/pgvector-langchain4j/src/test/java/com/learning/ai/controller/TestQueryController.java (1 hunks)
• rag/rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/service/CustomerSupportService.java (2 hunks)
• rag/rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/config/FunctionConfiguration.java (1 hunks)
• rag/rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/service/AIChatService.java (2 hunks)
• rag/rag-springai-openai-llm/src/main/resources/application.properties (1 hunks)

Files skipped from review due to trivial changes (2)

• embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/config/SwaggerConfig.java
• rag/rag-springai-openai-llm/src/main/resources/application.properties

Additional comments not posted (7)

rag/rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/config/FunctionConfiguration.java (1)

16-21: The implementation of currentDateFunction is concise and correctly utilizes Spring's @Bean annotation. Good use of logging for traceability.

embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/controller/QueryController.java (1)

21-22: The updated signature of queryEmbeddedStore to include an optional userId parameter enhances user-specific query capabilities. Well-integrated change.

embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/config/Initializer.java (1)

24-31: The inclusion of user-specific metadata in TextSegment instances aligns with the PR's objectives of enhancing metadata handling. The implementation is correct and clear.

embeddingstores/pgvector-langchain4j/src/test/java/com/learning/ai/controller/TestQueryController.java (1)

16-37: The test methods added are comprehensive and correctly validate the new functionalities related to user-specific queries. Good use of @Disabled for known issues awaiting fixes.

rag/rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/service/CustomerSupportService.java (1)

32-37: The refactoring of the chat method to use EmbeddingSearchRequest and EmbeddingSearchResult enhances the modularity and scalability of the service. Correctly implemented.

embeddingstores/pgvector-langchain4j/src/main/java/com/learning/ai/service/PgVectorStoreService.java (1)

30-45: The enhancements to queryEmbeddingStore to include user-specific filtering using MetadataFilterBuilder are well-implemented and align with the PR's objectives of improving metadata handling.

rag/rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/service/AIChatService.java (1)

58-60: The integration of OpenAiChatOptions to dynamically specify options during prompt creation in the chat method enhances the configurability and adaptability of the AI service. Well-implemented change.