- Added support for parsing various file types (PDF, DOCX, PPTX) in the content processing pipeline, allowing for more flexible content extraction.
- Implemented a new method to convert file attachments to raw text when content parsing is skipped, improving performance for internal calls.
- Introduced loading message suppression for image processing to enhance user experience during PDF analysis.
- Updated the PDF handler to cache processed text and manage loading messages effectively, ensuring smoother interactions during content retrieval.
- Enhanced error handling and logging for PDF processing, improving traceability and debugging capabilities.
- Updated multiple test cases in `jsapi_test.go` to utilize `testutils.Prepare` and `testutils.Clean` for better test setup and teardown, ensuring a consistent testing environment.
- Refactored the `parallelAny` and `parallelRace` methods in `search.go` to improve goroutine management and result handling, reducing unnecessary locking and enhancing performance.
- Implemented checks to prevent goroutines from executing after a successful result is found, optimizing resource usage during parallel searches.
- Refactored the Search method to support context-aware execution, allowing handlers to utilize context when performing searches.
- Introduced a new SearchWithContext method in the handler interface to facilitate context-based search operations.
- Updated the DB handler to implement the context-aware search, ensuring proper QueryDSL generation and execution.
- Enhanced test cases to validate the new context requirements and scenarios for database searches, improving error handling and robustness.
- Added scenario type support for QueryDSL generation, allowing for more complex query handling.
- Updated documentation to reflect the new context handling and scenario features in search operations.
- Refactored the SearchAPI interface to replace the Parallel method with All, Any, and Race methods, inspired by JavaScript Promise patterns.
- Updated the Searcher struct to implement these new parallel search methods, improving flexibility and performance in executing multiple searches.
- Revised the JSAPI implementation to support the new parallel search methods, ensuring consistency across the API.
- Enhanced documentation in DESIGN.md to detail the new parallel search functionalities and provide usage examples, clarifying their behavior and expected outcomes.
- Introduced a new TODO.md file to outline the implementation plan and progress for the search module.
- Updated DESIGN.md to reflect changes in the directory structure and clarify the roles of various components, including the new Handler + Registry pattern for reranking and keyword extraction.
- Refactored the Searcher struct to utilize a direct reference to the rerank package, enhancing modularity and clarity in the search process.
- Modified the Search and SearchMultiple methods to include context parameters, improving flexibility for agent mode operations.
- Revised the Reranker interface to require context for Agent and MCP modes, ensuring compatibility with different reranking strategies.
- Enhanced documentation to provide comprehensive guidance on the updated search architecture and its components.
- Introduced a new search configuration structure, allowing for detailed settings for web, knowledge base, database, citation, and weights.
- Updated the `Assistant` model to include a `Search` field, enabling assistant-specific search configurations.
- Enhanced the loading and merging logic for search configurations, ensuring global defaults can be overridden by assistant-specific settings.
- Added comprehensive tests for loading, saving, and updating assistants with search configurations, verifying the integrity of search settings.
- Updated documentation in DESIGN.md to reflect the new search configuration hierarchy and usage, clarifying the interaction between global and assistant-level settings.
