- Updated DeleteChunks method to split IDs into batches of 5000 to prevent MySQL Error 1390.
- Added unit tests for CalculateFAQContentHash to ensure consistent hashing behavior across various scenarios, including normalization and case sensitivity.
- Enhanced the SummaryGenerationPayload struct to include a Language field for better localization.
- Updated enqueueSummaryGenerationTask and ProcessSummaryGeneration methods to handle language context in summary generation tasks.
- Modified the session title generation template to focus on extracting only the intent of the user's question.
- Enhanced the session service to include language context when generating titles.
- Updated middleware to inject language into the request context.
- Added a new test suite for validating SSRF safety of URLs.
- Added timezone and language settings to the environment configuration.
- Introduced built-in agent configurations with multilingual support for various agents.
- Updated Docker Compose to utilize new environment variables for timezone and language.
- Created new prompt templates for question generation, summary generation, and keywords extraction.
Table-driven tests for sanitizeManualDownloadFilename covering normal titles,
each dangerous character replacement (/ \ " \n \r), blank/whitespace-only
titles falling back to "untitled.md", and safe passthrough of = ; characters.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Use mime.FormatMediaType for both attachment and inline Content-Disposition
headers in DownloadKnowledgeFile and the preview handler, preventing header
injection via a user-controlled knowledge title (e.g. containing ';' or '=')
- Extract inline sanitize logic into sanitizeManualDownloadFilename helper and
add a blank/whitespace-only title fallback to "untitled" so the download
never produces a degenerate ".md" filename
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add an early-return branch that streams manual knowledge content
(stored as Markdown in Metadata.content) directly as a .md file,
avoiding the runtime error that occurred when FilePath is empty.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Removed outdated instructions regarding the `skip_kb_search` field in the conversation configuration.
- Clarified requirements for `image_description` to ensure it is non-empty when images are present.
- Adjusted the handling of message parts in the chat pipeline to improve image processing.
- Deleted unused migration files related to image handling in the database schema.
These changes enhance the clarity and functionality of the conversation and image processing logic.
- Added blur handling for the textarea in the Input-field component to prevent errors when navigating away from the component.
- Improved the sanitization process in the AgentStreamDisplay component to preserve specific tags during markdown processing, ensuring accurate content display.
- Introduced new methods for handling FAQ-specific post-processing in the knowledge base service, optimizing retrieval and filtering of search results.
These changes enhance user experience by improving input handling and content rendering in the chat interface.
- Introduced a new `QARequest` type to streamline parameters for KnowledgeQA and AgentQA service calls, replacing multiple parameters with a single structured request.
- Updated the `KnowledgeQA` and `AgentQA` methods in the session service interface to accept the new `QARequest` type, enhancing clarity and maintainability.
- Refactored the request parsing logic to utilize the new `buildQARequest` method, improving code organization and reducing redundancy.
- Implemented a new `resolveAgent` method to simplify custom agent resolution logic, enhancing readability and maintainability.
These changes improve the overall structure and usability of the QA request handling, facilitating easier updates and better code organization.
- Introduced a new parameter `webSearchEnabled` to the `AgentQA` method, allowing for conditional web search capabilities.
- Updated the session service interface and handler to accommodate the new parameter, enhancing the flexibility of the AgentQA process.
- Adjusted the configuration to ensure that web search functionality can be toggled based on the provided input.
These changes improve the AgentQA feature by enabling users to control web search integration, enhancing the overall user experience.
- Introduced a new method to resolve embedding model IDs to their actual identity keys (name + endpoint), enabling optimal grouping of knowledge bases across different tenants.
- Updated the concurrent search functionality to utilize the resolved model keys, improving the efficiency of query embedding computations.
- Refactored search target grouping to reduce redundant API calls and enhance performance during hybrid searches.
These changes significantly improve the knowledge search process by ensuring that embeddings are computed efficiently and reused across multiple knowledge bases sharing the same underlying model.
- Enhanced the concurrent search functionality to group search targets by their embedding model, allowing for a single computation of query embeddings per model.
- Implemented batch fetching of knowledge base records to improve efficiency and reduce redundant API calls.
- Updated the HybridSearch method to support multiple knowledge base IDs, enabling combined retrieval for full-KB targets and improving overall search performance.
- Added a new GetQueryEmbedding method to compute embeddings for queries, facilitating reuse across multiple knowledge bases sharing the same model.
These changes significantly enhance the performance and efficiency of the knowledge search process, reducing API calls and improving response times.
- Implemented a new API endpoint to clear all messages in a session, enhancing session management capabilities.
- Updated the frontend to include a clear messages option in the session menu, allowing users to easily remove chat history.
- Added localization support for the new feature in English, Korean, Russian, and Chinese, improving accessibility for a broader audience.
- Enhanced the chat view to handle session message clearing events, ensuring a responsive user experience.
These changes significantly improve the user experience by providing a straightforward method to manage session messages effectively.
- Refactored the chat model ID selection process to prioritize the request's summaryModelID, followed by the custom agent's ModelID, and finally a fallback to the default model selection.
- Improved logging to provide clearer insights into which model ID is being used during the selection process.
- Removed the deprecated selectChatModelIDWithOverride function to streamline the codebase and enhance maintainability.
These changes improve the flexibility and clarity of chat model selection, ensuring a more robust session management experience.
- Added support for updating the description field in knowledge records, improving the detail and context of knowledge entries.
- Refactored knowledge base update logic to ensure configuration updates are only applied when provided, enhancing robustness and preventing unnecessary overwrites.
- Modified the request structure to make the configuration field optional, allowing for more flexible updates.
These changes improve the knowledge management system by allowing for more comprehensive updates and better handling of configuration data.
- Updated configuration to support three tasks in the assistant's prompt: rewriting questions, classifying intent for knowledge base retrieval, and analyzing attached images.
- Implemented backend functionality to update image descriptions in user messages, ensuring that image context is preserved across conversation history.
- Modified session handling to return complete session data after updates, improving the accuracy of session information provided to users.
- Enhanced the chat pipeline to include detailed image descriptions and manage image captions effectively, enriching user interactions with visual content.
These improvements significantly enhance the application's multimodal capabilities, providing a more robust and user-friendly experience when handling image-based queries.
- 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.
- Added functionality for image uploads in chat, allowing users to attach images for multimodal Q&A.
- Enhanced the input field to handle image selection via drag-and-drop and paste, with validation for file types and sizes.
- Updated the backend to process images alongside text queries, including support for image analysis.
- Introduced new UI components for image previews and management, improving user interaction with uploaded content.
- Added localization strings for image upload features and error messages, enhancing accessibility for users in multiple languages.
These changes significantly improve the chat experience by enabling users to incorporate images into their queries, facilitating richer interactions and responses.
- 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.
- Added API endpoints for moving knowledge items between knowledge bases, including validation for source and target compatibility.
- Implemented asynchronous task handling for knowledge moves, tracking progress and status updates.
- Introduced new localization strings for move-related UI elements in English, Korean, Russian, and Chinese.
- Enhanced the frontend to support knowledge move operations, including target selection and progress monitoring.
These changes significantly improve the application's capabilities for managing knowledge across different bases, providing users with a seamless experience in organizing their knowledge assets.
- Revised the storage size calculation logic for Milvus, Qdrant, and Weaviate repositories to provide more accurate estimates based on the actual data structure and indexing methods.
- Updated comments to clarify the relationship between vector dimensions and index storage requirements, enhancing code readability and maintainability.
- Added new API endpoints for managing chat history configuration and retrieval settings, allowing tenants to enable message indexing and configure search parameters.
- Introduced new Vue components for ChatHistorySettings and RetrievalSettings, providing a user-friendly interface for managing these configurations.
- Updated localization files to include new settings descriptions and labels in multiple languages.
- Enhanced the KnowledgeSearch view to support searching across both knowledge bases and chat history, improving the overall search functionality.
These changes significantly enhance the application's capabilities in managing and retrieving chat history, contributing to a more robust user experience.
- Introduced the final_answer tool to ensure agents submit their complete responses as the last action, improving response accuracy and consistency.
- Updated the agent engine to log detailed information about tool calls and responses, including the total duration of agent execution.
- Enhanced the chat message model to include agent_duration_ms, tracking the total execution time from query start to answer delivery.
- Implemented JSON field extraction for streaming responses, allowing for more efficient handling of tool call outputs.
These changes significantly improve the agent's response handling and ensure that final answers are consistently delivered, enhancing overall user experience.
- Add crypto utility (internal/utils/crypto.go) with AES-256-GCM encrypt/decrypt
using SYSTEM_AES_KEY env var, with "enc:v1:" prefix for versioned ciphertext
- Encrypt tenant API key via GORM BeforeSave/AfterFind hooks and manual
encryption in CreateTenant/UpdateAPIKey (db.Updates bypasses hooks)
- Encrypt model API key in ModelParameters Value/Scan (driver.Valuer)
- Widen api_key column from varchar(64) to varchar(256) across all DB dialects
(MySQL, ParadeDB, SQLite) and add versioned migration 000018
- Propagate SYSTEM_AES_KEY through docker-compose, Helm secrets and values
- Fix migration 000017 PL/pgSQL dollar-quoting syntax ($ -> $$)
Convert all LLM-facing prompts, templates, and tool output labels to
language-neutral English so the model responds in the user's input
language. Update frontend relevance/match-type mappings to match.
Output language strategy:
- User-facing: reply in user's input language
- Vector-indexed: match source document language
- LLM-internal: fixed English
- Implemented ListChunksByParentIDs in chunkRepository to retrieve chunks based on multiple parent IDs, improving data retrieval efficiency.
- Enhanced the chunk merging logic in PluginMerge to better handle overlapping chunks and collect merged ImageInfo for parent chunks.
- Updated the ChunkRepository interface to include the new ListChunksByParentIDs method, ensuring consistency across the application.
These changes optimize chunk management and improve the handling of image information during merges, enhancing overall application functionality.
- Implemented GetUserByTenantID method in userRepository to retrieve the first user associated with a given tenant ID.
- Added corresponding GetUserByTenantID method in userService to facilitate user retrieval by tenant ID.
- Updated UserService and UserRepository interfaces to include the new method, ensuring consistency across the application.
- Enhanced auth middleware to store user information in context based on tenant ID, improving user management.
These changes enhance user retrieval capabilities by allowing access to user data based on tenant associations, improving overall application functionality.
- 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.
- Introduced a new API endpoint to toggle the pin status of knowledge bases, allowing users to pin important entries to the top of the list.
- Updated the frontend to include UI elements for pinning and unpinning knowledge bases, with corresponding success and error messages.
- Enhanced localization support by adding translations for pinning actions in English, Korean, Russian, and Chinese.
- Modified the database schema to include `is_pinned` and `pinned_at` fields for knowledge bases, enabling persistent pinning status.
These changes improve the organization and accessibility of knowledge bases, enhancing user experience by allowing quick access to prioritized entries.
- Introduced a new `is_fallback` property to track when responses are generated without knowledge base matches.
- Updated the chat components to display fallback hints and indicators in the UI, enhancing user awareness of fallback responses.
- Added translations for fallback hints in multiple languages, improving accessibility for diverse users.
- Modified backend logic to emit fallback status in response events, ensuring consistent handling across the application.
These changes improve the user experience by providing clear feedback on fallback responses, enhancing the overall interaction with the chat system.
- Introduced a new function `cleanPassageForRerank` to strip markdown and structural noise from text, enhancing semantic clarity for rerank models.
- Implemented comprehensive regex patterns to remove images, links, code blocks, LaTeX, HTML tags, and other formatting elements.
- Added unit tests to validate the cleaning process across various input scenarios, ensuring expected output consistency.
- Updated the `getEnrichedPassage` function to utilize the new cleaning method, improving the quality of text passed to the rerank model.
These changes significantly enhance the preprocessing of text data, leading to better performance in reranking tasks.
- 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.
- Added a new method `resolveFileServiceForKnowledge` to dynamically resolve the appropriate file service based on the tenant's storage configuration and the knowledge file's provider.
- Updated the `extractionResources` struct to include a reference to the tenant, enabling the new resolution logic.
- Modified the `processTableData` method to utilize the resolved file service, improving the handling of file operations during data extraction.
These changes enhance the flexibility and reliability of file service management in the data extraction process.
- Removed the image storage handling from the `_resolve_images` function, which now only decodes images and returns them as inline bytes.
- Updated the function's docstring to clarify that image persistence is managed by the Go App, and the return value for `image_dir_path` is always empty.
- Adjusted related gRPC and protobuf files to remove the `ConvertToPDF` method and its associated types, streamlining the API.
- Enhanced security measures in the frontend by implementing a placeholder for provider images and ensuring proper hydration of protected file images.
These changes improve the clarity and efficiency of image processing and API interactions within the application.
- Introduced `TagID` and `IsRecommended` fields across various repository implementations (Elasticsearch, Milvus, Postgres, Qdrant, SQLite) to enhance document categorization and recommendation capabilities.
- Updated the logic for handling `IsEnabled` to ensure it reflects the actual state from the source data.
- Adjusted the knowledge service to incorporate the new `IsRecommended` field, improving the indexing process for knowledge chunks.
These changes enhance the flexibility and functionality of document retrieval and indexing across the application.
- Added `IsEnabled` and `IsRecommended` fields to the document indexing process in both ElasticFaiss and Elasticsearch repositories, improving the flexibility and functionality of document retrieval.
- Updated the data extraction process to include these new fields, ensuring they are correctly populated from the source data.
- Adjusted the indexing logic in the knowledge service to reflect these changes, maintaining consistency across the application.
- Introduced a new API function `deleteAllSessions` to allow deletion of all sessions for a tenant.
- Updated the `BatchManageDialog` component to support a confirmation dialog for deleting all sessions.
- Enhanced the menu component to reflect the new delete all functionality with appropriate confirmation messages.
- Added internationalization support for the new delete all confirmation message in multiple languages.
These changes improve session management by providing users with the ability to delete all sessions at once, enhancing the overall user experience.
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