polish code and adds docker compose #30
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WalkthroughThe updates span configuration and functionality enhancements across a Java-based AI integration framework. Key adjustments include refining logging practices, optimizing chat model response generation through temperature adjustments, introducing bean management for tokenizer instantiation, and refining service annotations and method signatures. These changes aim to improve code maintainability, performance, and the accuracy of AI-generated responses, reflecting a thoughtful iteration on the framework's architecture and integration capabilities. Changes
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Files ignored due to path filters (4)
chatmodel-springai/pom.xmlis excluded by!**/*.xmlrag-springai-ollama-llm/docker/docker-compose.ymlis excluded by!**/*.ymlrag-springai-openai-llm/docker/docker-compose.ymlis excluded by!**/*.ymlrag-springai-openai-llm/docker/docker_pgadmin_servers.jsonis excluded by!**/*.json
Files selected for processing (6)
- chatmodel-springai/src/main/java/com/example/ai/config/LoggingConfig.java (2 hunks)
- chatmodel-springai/src/main/resources/application.properties (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AIConfig.java (4 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/service/AICustomerSupportAgent.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/service/CustomerSupportService.java (1 hunks)
Additional Context Used
Additional comments not posted (9)
chatmodel-springai/src/main/resources/application.properties (1)
6-6: The adjustment of thespring.ai.openai.chat.options.temperaturesetting from 0.7 to 0.2 is noted. This change will make the chat model's responses more deterministic and less varied. Ensure this adjustment aligns with the intended use case and behavior of the chat model within your application.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/ChatTools.java (1)
15-15: The update to the@Toolannotation, specifying the name and value, enhances the clarity and specificity of the tool's purpose. This is a positive change for better understanding and using the tool within the AI customer support agent.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/service/AICustomerSupportAgent.java (3)
1-1: The update to the package declaration aligns with the reorganization of service classes. Ensure that all references to this class are updated accordingly.
8-8: The addition of the@AiServiceannotation specifying the use of thecurrentTimetool enhances the clarity of service dependencies and functionality.
13-13: Updating the message template placeholder from{{current_date}}to{{current_date_time}}improves the precision of the information provided in responses. This is a thoughtful change for enhancing the relevance of responses.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/service/CustomerSupportService.java (1)
1-5: > 📝 NOTEThis review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [1-24]
The code in
CustomerSupportServicecorrectly implements the chat functionality using an embedding model and store, with a dependency onAICustomerSupportAgent. Ensure that any changes to imports, such as the mentioned removal, are accurately reflected and do not impact the functionality.chatmodel-springai/src/main/java/com/example/ai/config/LoggingConfig.java (1)
24-24: Transitioning to a static finalLOGGERvariable is a best practice in Java for logging. This change enhances the consistency and performance of logging across the application.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AIConfig.java (2)
63-66: The introduction of theOpenAiTokenizerbean is a positive change that enhances code modularity and maintainability by leveraging Spring's dependency injection. This aligns well with best practices for managing dependencies in Spring applications.
70-73: Correctly updating theembeddingStoremethod to include theOpenAiTokenizerparameter ensures proper integration of the tokenizer into the embedding process. This is a thoughtful change for improving the functionality and maintainability of the embedding store.
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