- Replaced LLMConfig with model_id in TextRelationExtractionRequest and FabriTextRequest interfaces.
- Updated related API handlers to retrieve chat models based on model_id.
- Adjusted frontend components to pass model_id instead of LLMConfig, enhancing clarity and simplifying the configuration process.
These changes streamline the model configuration process across the application, improving maintainability and usability.
- Updated configuration to enable parent-child chunking, allowing for more structured content organization.
- Activated question generation feature, enhancing the ability to create relevant questions based on the content provided.
These changes improve the functionality of the KnowledgeBaseEditorModal, facilitating better content management and interaction.
- Updated configuration to improve handling of multimodal queries, including clearer guidelines for when to use [NO_SEARCH] in responses.
- Enhanced the user interface to include dedicated sections for multimodal configuration, allowing users to manage image uploads and related settings more effectively.
- Added localization support for new multimodal features in both English and Chinese, improving accessibility for a broader audience.
- Implemented backend changes to support image analysis and extraction of OCR text, enriching the interaction experience for users.
These enhancements significantly improve the application's capability to process and respond to multimodal queries, fostering a more interactive and user-friendly environment.
- Updated the summary length requirement for document summarization to 100-300 words.
- Added new localization strings for missing storage engine notifications in English, Korean, Russian, and Chinese.
- Implemented UI warnings for users regarding storage engine configuration when files exist, including confirmation dialogs for storage engine changes.
- Enhanced backend validation to ensure a storage engine is configured before allowing content uploads.
These changes improve user experience by providing clearer guidance on storage engine requirements and enhancing the overall functionality of the knowledge base management system.
Replace all user-visible hardcoded Chinese strings in Vue/TS source files
with proper i18n function calls and add corresponding translation keys
to all 4 locale files (zh-CN, en-US, ko-KR, ru-RU).
Changes:
- Replace 80+ hardcoded Chinese strings across 30+ source files
- Add ~450 new translation keys per locale file
- Cover components, views, utils, hooks, and API modules
- Remove Chinese fallback patterns (|| '中文') from existing t() calls
- Add mermaid toolbar and ollama date format translations
Intentionally preserved (backend API values / backward compatibility):
- FAQ CSV column headers and parsing constants
- RelevanceLevel type and Record key mappings
- Graph database engine status comparison ('未启用')
- Language name labels ('简体中文')
- Increased default sizes for parent and child chunks in the knowledge base editor and settings, enhancing data processing capabilities.
- Adjusted slider settings in the UI to reflect new minimum and maximum values for chunk sizes, improving user control over configurations.
- Updated backend logic to ensure consistent handling of chunk sizes across the application.
These changes optimize the chunking process, allowing for more efficient data handling and improved performance in knowledge base operations.
- Refactored CSS variables for consistent theming, replacing hardcoded colors with CSS variables for better maintainability.
- Updated various components including `AgentAvatar`, `AgentSelector`, and `AgentShareSettings` to utilize new theme variables for colors, backgrounds, and shadows.
- Enhanced SVG icons to use `currentColor` for better adaptability to theme changes.
- Improved overall UI consistency by aligning styles with the new theming approach, enhancing user experience across the application.
These changes significantly improve the visual coherence and maintainability of the UI, ensuring a more seamless user experience.
- Added support for parent-child chunking in the knowledge base, allowing for a two-level chunking strategy that improves context retrieval.
- Introduced new configuration options for enabling parent-child chunking, including parent and child chunk sizes.
- Updated relevant components and services to handle parent chunk data, ensuring proper linking and retrieval of child chunks.
- Enhanced user interface elements to reflect the new chunking options and provide better user guidance.
These changes significantly improve the knowledge extraction process by providing richer context through hierarchical chunking.
- Updated the `KnowledgeBase` struct to rename `cos_config` to `storage_config` for consistency across the application.
- Implemented a custom `UnmarshalJSON` method to maintain backward compatibility with legacy responses that still use `cos_config`.
- Modified various frontend components to reflect the new `storage_config` naming, ensuring seamless integration with the updated backend structure.
- Enhanced Dockerfiles and service configurations to support the new storage engine setup.
This update improves the clarity of storage configurations and ensures compatibility with existing data structures.
- Added a new `.env.lite.example` file for the Lite version, providing a minimal configuration template.
- Updated `.env.example` to remove deprecated variables and include new Docreader settings.
- Enhanced Docker configurations to support the Lite version, including a new Dockerfile for the Docreader service.
- Introduced a Makefile target for building and running the Lite version, along with packaging capabilities.
- Created GitHub workflows for building and releasing Lite binaries, including Homebrew formula support.
- Implemented a new service file for managing the Lite version as a system service.
This update enables a streamlined, single-binary deployment of WeKnora, reducing external dependencies and simplifying setup.
- Introduced a new API for organization management, including creation, updating, and deletion of organizations.
- Implemented organization sharing functionality for knowledge bases, allowing users to share knowledge bases with specific organizations and set permissions.
- Added UI components for organization selection and sharing dialogs.
- Enhanced existing components to support organization-related features, including shared knowledge base handling and organization role management.
This update enhances collaboration capabilities within the application by allowing users to manage and share knowledge bases across different organizations.
- Replaced `vlm_model_id` with a structured `vlm_config` object in knowledge base configurations, including `enabled` flag and `model_id`.
- Updated API documentation to reflect changes in VLM configuration structure.
- Enhanced frontend interfaces to accommodate new VLM configuration format.
- Improved localization for new features related to knowledge graph and multimodal capabilities.
- Changed default FAQ configuration to use 'question_only' index mode and 'separate' question index mode for better performance.
- Updated localization strings in Chinese for consistency and clarity, including terminology adjustments for indexing methods.
- Added support for creating and managing FAQ knowledge bases, including new API endpoints for listing, upserting, updating, and deleting FAQ entries.
- Enhanced the frontend to allow users to create FAQ knowledge bases and manage FAQ entries with a dedicated interface.
- Introduced new types and configurations for FAQ handling in the backend, ensuring proper indexing and retrieval of FAQ entries.
- Updated localization files to include new strings related to FAQ management in multiple languages.
- Refactored existing components to accommodate the new FAQ features, improving user experience and functionality.
- Introduced `is_builtin` property in the model configuration to identify builtin models.
- Updated frontend components to display a tag for builtin models in the ModelSelector and ModelSettings.
- Enhanced the ModelEditorDialog to prevent editing and deletion of builtin models.
- Implemented logic in the backend to hide sensitive information for builtin models and restrict their modification.
- Added informative UI elements to clarify the nature of builtin models in the settings and editor views.
- Added vue-i18n integration to various components for dynamic text translation.
- Updated text placeholders, button labels, and error messages to utilize translation functions.
- Enhanced user experience by providing localized content in the Knowledge Base, chat components, and settings.
- Removed hardcoded strings and replaced them with translation keys for better maintainability and scalability.
- Introduced a new method to handle navigation to agent settings, improving code organization and reusability.
- Updated tooltip content in the agent mode button to include a link for quick access to agent settings.
- Enhanced error handling in the KnowledgeBase component to provide actionable links for VLM configuration errors.
- Added initial section handling in the KnowledgeBaseEditorModal for improved user experience during knowledge base editing.
- Replaced emoji icons with tdesign icons in KnowledgeBaseEditorModal for consistency.
- Updated button in KnowledgeBaseList to include an icon and improved layout.
- Adjusted styles for navigation items and buttons for better alignment and visual appeal.
- Added new sections for TenantInfo and ApiInfo in Settings.vue to enhance settings organization.
- Updated agentChat API to accept optional knowledge_base_ids and agent_enabled parameters.
- Introduced getSession API to retrieve session details.
- Modified useStream to validate knowledge_base_ids for agent-chat requests and prepare POST body accordingly.
- Enhanced createKnowledgeBase API to include additional configuration options.
- Refactored chat routing to remove knowledge base ID from the chat path, allowing for dynamic knowledge base selection.
- Improved session management by preventing duplicate session entries in the menu store.
- Updated UI components for better session handling and display.
- Added context management for agent conversations to improve state persistence across sessions.
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