feat: refine notebook retrieval context and folders - #176
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- Added support for assigning sources to folders, enhancing organization and management capabilities. - Introduced new `folderId` property in various source-related files and updated relevant tests to ensure proper functionality. - Modified source route service to handle folder assignments, including validation and error handling for folder-related requests. - Updated tests across multiple domains to cover new folder assignment scenarios, ensuring comprehensive coverage. This enhancement improves the user experience by allowing better categorization of sources within the application.
- Added support for retaining evidence picks after retrieval, introducing a new `retainPicks` method in the ledger. - Implemented pending retention range management to track newly added evidence chunks. - Updated the agent harness runtime to prepare answer context based on retained evidence, improving response accuracy. - Refactored tests to cover new retention functionality and ensure proper integration with existing workflows. This enhancement improves the agent's ability to manage and utilize evidence effectively, leading to more accurate and contextually relevant responses.
- Introduced a new `resolveRetainedConnectedAssets` method in the ledger to handle connected assets for retained evidence, improving the assembly of answer context. - Refactored the `composeAnswerContext` function to support multiple asset types, including tables and images, ensuring accurate representation in responses. - Updated tests to validate the new asset resolution functionality and its integration with the answer context generation process. This enhancement improves the agent's ability to utilize connected assets effectively, leading to richer and more informative responses.
…ndling - Enhanced the `composeAnswerContext` function to include handling for cases where no knowledge base or memory results are found, providing clearer feedback in the generated messages. - Updated the test suite to cover new scenarios, ensuring that the context composition accurately reflects the absence of results and maintains the integrity of user interactions. - Refactored memory item formatting to improve clarity and consistency in the output. These changes enhance the agent's ability to communicate effectively when searches yield no results, leading to a more informative user experience.
- Removed the `referencedChunkCount` from the response structure to streamline data handling. - Updated tests to ensure that responses do not contain unwanted fields, specifically checking for provenance-only IDs and other irrelevant data. - Enhanced the logic for processing referenced chunks to focus on those with evidence, improving the accuracy of the citation pipeline. These changes improve the clarity and relevance of the data returned by the agent, leading to more precise responses in user interactions.
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