- Added ASR configuration options to the knowledge base and model settings.
- Implemented ASR model selection and transcription capabilities in the knowledge processing pipeline.
- Enhanced file upload support to include audio formats for ASR processing.
- Updated localization files to include ASR-related labels and descriptions.
- Refactored model handling to accommodate ASR as a new model type.
- Added max_input_chars configuration to limit input size for summary generation.
- Updated generate_summary.yaml to clarify summary generation steps and requirements.
- Introduced a new summary section in the document content view to display generated summaries or loading states.
- Refactored doc-content.vue to utilize computed properties for improved performance and readability.
- Enhanced knowledge base hooks to include description and summary status fields for better data handling.
- Updated internationalization files to include new summary-related labels in multiple languages.
Previously, only the original uploaded file was deleted via knowledge.FilePath.
Images extracted by the builtin parser (stored as individual S3/MinIO/local files
via ImageResolver) were never cleaned up, causing orphan files to accumulate.
- Add ListImageInfoByKnowledgeIDs repository method (no chunk_type filter)
- Add collectImageURLs utility with URL deduplication and JSON parse logging
- Add deleteExtractedImages helper (standalone, best-effort with error logging)
- Fix DeleteKnowledge: collect image URLs before errgroup, delete in file goroutine
- Fix DeleteKnowledgeList: bulk collect with KB-level fileSvc mapping
- Fix cleanupKnowledgeResources: collect before chunk deletion, delete after
- Fix ProcessKBDelete: collect before chunk deletion for KB-wide cleanup
- Add DefaultLanguage() that reads WEKNORA_LANGUAGE env with zh-CN fallback
- Replace hardcoded zh-CN in LanguageNameFromContext with DefaultLanguage()
- Unify middleware/language.go to use types.DefaultLanguage()
- Add Language field to DocumentProcessPayload (8 enqueue sites + worker restore)
- Add Language field to ImageMultimodalPayload (enqueue + worker restore)
- Propagate language from ImageMultimodalPayload to QuestionGenerationPayload
- Updated UpdateKnowledgeTagBatch method to include an authorizedKBID parameter for restricting updates to specific knowledge items.
- Implemented validation to ensure that all requested knowledge IDs belong to the authorized knowledge base.
- Enhanced GetKnowledgeBatch and UpdateKnowledgeTagBatch methods to incorporate agent-specific knowledge base access restrictions.
- Added utility functions to resolve allowed knowledge base IDs for agents based on their configuration.
- Updated the question generation template to clarify the role of surrounding context and main content.
- Enhanced quality rules for generated questions to better align with user search intent.
- Revised output format and added explicit instructions on what not to generate.
- Improved logging and output in the web parser for better visibility of parsed content and metadata.
- Updated DocReaderServicer to pass metadata in responses.
- Modified PipelineParser to accumulate and merge metadata from all parsers.
- Enhanced StdWebParser to extract and log the title from web page content.
- Implemented logic in knowledge service to update knowledge title based on extracted metadata.
- Keep strict mode blocking all direct IPs (IPv4 and IPv6 uniformly)
- Unify all SSRF call sites to use ValidateURLForSSRF (whitelist-aware)
- Add Teredo (2001:0000::/32) and 6to4 (2002::/16) tunnel detection
- Make redirect handler and DNS pinning respect SSRF_WHITELIST
- Unexport isSSRFSafeURL to prevent future callers bypassing whitelist
- Add scheme validation for whitelisted redirect targets
- Document IPv6 whitelist syntax in .env.example
- Add comprehensive IPv6 test coverage
The file upload pipeline (ProcessDocument) only called ResolveAndStore(),
which handles inline bytes and base64 data URIs but explicitly skips
http/https URLs. This meant markdown files with external image URLs
(e.g. GitHub issue screenshots) were never downloaded, stored, or
processed by VLM multimodal.
Add ResolveRemoteImages() call after ResolveAndStore() in the file
upload path, matching the existing manual processing path behavior.
When LLM summary generation fails, the fallback logic truncates
the first chunk content to 500 characters. Previously used byte-based
slicing (summary[:500]) which could cut multi-byte UTF-8 characters
in half, causing PostgreSQL to reject invalid byte sequences.
Changed to rune-based truncation to ensure valid UTF-8 after truncation.
Fixes: Documents stuck in "Generating summary" status when containing
Chinese/emoji characters and summary generation fails.
- Updated search queries to filter by both file name and title when a keyword is provided, improving search accuracy.
- Added support for filtering by URL and HTML file types in search queries, enhancing the flexibility of the search functionality.
- Refactored query construction for file types to streamline the inclusion of additional conditions, ensuring robust handling of various file types.
- Introduced a new `channel` field in the Knowledge struct and associated request types to track the source channel (e.g., "web", "api", "browser_extension").
- Updated various frontend components to display channel information and enhance user experience with channel labels.
- Enhanced localization files to support channel labels in English and Chinese.
- Modified backend services and database migrations to accommodate the new channel feature, ensuring consistent tracking across knowledge entries.
- Refactored related functions to integrate channel handling, improving overall knowledge management and context.
- Introduced support for JSON file types in English, Korean, Russian, and Chinese locale files.
- Updated the file type acceptance criteria in the document upload component to include JSON.
- Enhanced the knowledge base parser settings to recognize JSON as a valid file type.
- Implemented JSON conversion functionality in the document parser, allowing for JSON content to be processed and converted to markdown.
- Added comprehensive tests for JSON to markdown conversion to ensure functionality and reliability.
- Updated the page size from 100 to 1000 in the buildTagMap function to enhance performance and efficiency when retrieving tags from the knowledge base.
- Changed the tag retrieval process to support pagination, allowing for more efficient handling of large sets of tags.
- Adjusted the page size to 100 for better performance and reduced memory usage.
- Ensured that the function continues fetching tags until all are retrieved, improving the completeness of the tag map.
- Added a confirmation dialog for rebuilding knowledge items in the KnowledgeBase component.
- Introduced new state variables to manage the rebuild process and item selection.
- Enhanced the processChunks function to support question generation options based on configuration.
- Updated the knowledge service to handle question generation settings during document processing.
- Added functionality to resolve embedded data:image;base64 images in markdown, storing them and replacing references with stable URLs.
- Updated the knowledge service to process data URIs before handling remote images, ensuring all images are resolved consistently.
- Improved logging for resolved images, providing better insights during manual processing.
- Added unit tests to validate the new data URI resolution functionality and ensure reliability.
- Implemented a new method in the chunk repository to find FAQ chunks with overlapping standard or similar questions.
- Updated the knowledge service to utilize this method for checking duplicates during FAQ question creation.
- Improved error handling for duplicate questions, providing clearer feedback on conflicts.
- Added a new method to render graph extraction prompts with shared placeholders for language.
- Updated entity and relationship extraction methods to utilize the new rendering function, improving prompt customization.
- Enhanced question generation task to include language context, ensuring prompts are generated in the correct language.
- Improved error handling for empty prompt configurations in question generation, enhancing robustness.
- 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.
- 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.
- 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>
- 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 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.
- 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.
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
- 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.
- 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.
- 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.
- Added a new `StorageProviderConfig` struct to the `KnowledgeBase` for improved storage provider management, separating provider selection from storage credentials.
- Updated the `UnmarshalJSON` method to auto-populate `StorageProviderConfig` from the legacy `StorageConfig` for backward compatibility.
- Refactored various service methods to utilize the new storage provider configuration, ensuring a smooth transition from the legacy system.
- Implemented database migrations to add the `storage_provider_config` column and migrate existing data, maintaining compatibility with historical knowledge bases.
This update enhances the clarity and flexibility of storage configurations while ensuring compatibility with existing data structures.
- 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.
- Updated the AgentSelector component to improve agent selection logic, ensuring accurate representation of selected agents.
- Introduced new AgentShareSettings component for managing agent sharing with organizations, including UI for selecting organizations and displaying shared agents.
- Enhanced API interactions for sharing agents, including new methods for listing and managing agent shares.
- Improved localization support for agent sharing features across multiple languages.
- Updated various components to reflect changes in agent capabilities and sharing status, enhancing user experience and clarity.
This update strengthens the agent management features, providing users with better tools for sharing and selecting agents within organizations.
- 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.
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