feat : implement RAG #29
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WalkthroughThe project underwent a significant update focusing on enhancing its AI chat capabilities, particularly around customer support and cricket-related inquiries. Key changes include renaming and reconfiguring the CI build workflow, updating database connection configurations, introducing new models and services for AI chat interactions, and shifting HTTP methods from GET to POST for API consistency. Additionally, there's a notable shift towards a more structured and interactive chat service framework, aiming to provide more precise and user-friendly responses. Changes
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Files ignored due to path filters (5)
llm-rag-with-langchain4j-spring-boot/src/main/resources/medicaid-wa-faqs.pdfis excluded by!**/*.pdfrag-langchain4j-AllMiniLmL6V2-llm/docker/docker-compose.ymlis excluded by!**/*.ymlrag-langchain4j-AllMiniLmL6V2-llm/docker/docker_pgadmin_servers.jsonis excluded by!**/*.jsonrag-langchain4j-AllMiniLmL6V2-llm/pom.xmlis excluded by!**/*.xmlrag-langchain4j-AllMiniLmL6V2-llm/src/main/resources/Rohit.pdfis excluded by!**/*.pdf
Files selected for processing (16)
- .github/workflows/rag-langchain4j-AllMiniLmL6V2-llm.yml (2 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AIConfig.java (5 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AICustomerSupportAgent.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/ChatTools.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/SwaggerConfig.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/controller/CustomerSupportController.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/domain/request/AIChatRequest.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/domain/response/AICustomerSupportResponse.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/service/CustomerSupportService.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/resources/application.properties (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/test/java/com/learning/ai/LLMRagWithSpringBootTest.java (2 hunks)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/controller/AiController.java (2 hunks)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/request/AIChatRequest.java (1 hunks)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/response/AIChatResponse.java (1 hunks)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/service/AIChatService.java (2 hunks)
- rag-springai-openai-llm/src/test/java/com/learning/ai/llmragwithspringai/LlmRagWithSpringAiApplicationIntTest.java (2 hunks)
Files skipped from review due to trivial changes (3)
- .github/workflows/rag-langchain4j-AllMiniLmL6V2-llm.yml
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/ChatTools.java
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/SwaggerConfig.java
Additional comments (18)
rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/response/AIChatResponse.java (1)
- 1-5: The implementation of
AIChatResponseas a record is concise and appropriate for immutable data structures. ImplementingSerializablesuggests it may be used in contexts requiring serialization, which is good foresight if applicable.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/domain/response/AICustomerSupportResponse.java (1)
- 1-5: The
AICustomerSupportResponserecord is well-defined. Consider adding documentation to clarify the purpose of therecordsandtrophiesWonfields, especially since their types are genericList<String>, which might not be immediately clear to other developers or future maintainers.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/domain/request/AIChatRequest.java (1)
- 8-12: The
AIChatRequestrecord is well-defined, and the use of validation annotations is appropriate. The inclusion of a question mark in the@Patternregex ("^[a-zA-Z0-9 ?]*$"), while likely intended to allow question sentences, could be clarified or documented to ensure it aligns with the expected input format.rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/request/AIChatRequest.java (1)
- 1-13: This file is identical to the
AIChatRequest.javain therag-langchain4j-AllMiniLmL6V2-llmmodule, and the previous comments apply here as well.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AICustomerSupportAgent.java (1)
- 7-17: The
AICustomerSupportAgentinterface is well-defined, and the use of@UserMessageand@Vannotations indicates proper integration with the LangChain4J framework. Consider adding documentation to clarify the purpose and usage of these framework-specific annotations for future maintainers or developers unfamiliar with LangChain4J.rag-langchain4j-AllMiniLmL6V2-llm/src/main/resources/application.properties (1)
- 1-1: The addition of
spring.application.nameis appropriate and helps in identifying the application within the Spring ecosystem. The rest of the configuration settings are standard and correctly formatted.rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/controller/AiController.java (1)
- 24-27: The changes to the
ragServicemethod, including changing its HTTP method toPOSTand accepting a request body, are appropriate for the intended functionality. Consider adding Swagger or similar documentation annotations to describe the endpoint, its parameters, and response model for better API documentation and usability.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/controller/CustomerSupportController.java (1)
- 24-27: The
CustomerSupportControlleris well-implemented, with appropriate use of@PostMappingand@RequestBodyfor the/api/ai/chatendpoint. Similar to the previous controller, consider adding Swagger or similar documentation annotations to describe the endpoint, its parameters, and response model for enhanced API documentation and usability.rag-langchain4j-AllMiniLmL6V2-llm/src/test/java/com/learning/ai/LLMRagWithSpringBootTest.java (2)
- 30-39: The test method name
whenRequestGetFromPdf_thenOKno longer accurately reflects the operation being tested, as the request method has been changed from GET to POST. Consider renaming the method to better describe its current functionality, such aswhenPostRequestToAiChat_thenOK.- 31-39: Using a specific name like "Rohit Gurunath Sharma" in the test assertion makes the test dependent on the data setup and potentially brittle. Consider using a more generic assertion that doesn't rely on specific data unless the test setup ensures this data's presence.
rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/service/CustomerSupportService.java (1)
- 13-37: The
CustomerSupportServiceclass is well-structured and follows good practices in dependency injection and separation of concerns. However, consider adding error handling for cases where theembeddingStore.findRelevantmethod returns an empty list, to avoidIndexOutOfBoundsExceptionatrelevant.get(0).rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/service/AIChatService.java (2)
- 21-27: The updated template description for cricket is detailed and informative. However, ensure that this level of detail aligns with the overall design and user experience expectations for the AI chat service. If the service is expected to cover a wide range of topics, consider how specific topics are introduced and managed within the service.
- 46-55: In the
chatmethod, the process of constructing thesystemMessageanduserMessageis clear and follows the intended logic. However, consider adding error handling or validation for thelistOfSimilarDocumentsto ensure that the service can gracefully handle cases where no similar documents are found for the given query.rag-springai-openai-llm/src/test/java/com/learning/ai/llmragwithspringai/LlmRagWithSpringAiApplicationIntTest.java (2)
- 30-39: The test
testRagcorrectly usesMediaType.APPLICATION_JSON_VALUEfor the content type and checks for specific responses. However, consider parameterizing the test with different queries and expected outcomes to cover a broader range of scenarios and ensure the robustness of the AI chat functionality.- 57-71: In the
testEmptyQuerymethod, the validation for an empty query is well-handled, including checking for specific violation messages. This is a good practice for ensuring meaningful error responses are returned to the client. Keep this approach consistent across all error handling in the API.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AIConfig.java (3)
- 77-98: > 📝 NOTE
This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [64-107]
The update to use
JdbcConnectionDetailsfor configuring thePgVectorEmbeddingStoreis a good practice, as it provides more clarity and control over the JDBC connection details. However, ensure that the transition fromDataSourcetoJdbcConnectionDetailsis reflected across all database interactions within the project to maintain consistency.
- 77-98: > 📝 NOTE
This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [88-107]
Changing the document resource from "medicaid-wa-faqs.pdf" to "Rohit.pdf" indicates a shift in the focus of the content being used for embeddings. Ensure that this change aligns with the overall goals of the project and that the new document is properly prepared and relevant for the intended use cases.
- 91-95: The commented-out code related to loading an HTML document and extracting text from it suggests potential future enhancements. While it's useful to keep such code for reference, consider moving it to a separate branch or documentation to keep the main codebase clean and focused on currently active functionality.
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Summary by CodeRabbit
JdbcConnectionDetailsfor enhanced connection management.GETtoPOSTfor chat services, aligning with RESTful practices.