- Added streaming service support to the Q&A agent for real-time token streaming.
- Updated `answer_question` method to stream responses token-by-token to the frontend.
- Modified `handle_qna_workflow` to handle both custom and values streaming modes.
- Enhanced state management to include streaming service for improved user experience.
-Introduce granular permissions for documents, chats, podcasts, and logs.
- Update routes to enforce permission checks for creating, reading, updating, and deleting resources. - Refactor user and search space interactions to align with RBAC model, removing ownership checks in favor of permission validation.
- Added `citations_enabled` and `qna_custom_instructions` fields to the SearchSpace model for better QnA configuration.
- Updated the creation and update schemas to handle new fields with appropriate defaults.
- Refactored QnA handling in the agent to utilize the new SearchSpace fields for improved response customization.
- Adjusted UI components to include settings for managing QnA configurations.
- Enhanced onboarding process to incorporate prompt setup as an optional step.
- Updated the welcome dialog in podcast generation to reflect the correct podcast title.
- Improved the Dashboard layout by adding an indicator for active chats on the researcher page.
- Enhanced the breadcrumb component to fetch and display chat details dynamically.
- Adjusted the chat panel width for better visibility.
- Introduced animations and improved user interactions in the chat panel and podcast player components.
- Updated the ConfigModal to provide clearer instructions for user input.
- Introduced a fixed parameter order for AzureOpenAIEmbeddings to resolve compatibility issues.
- Updated the voice selection logic to include Azure voices in the podcaster utility.
- Modified the page limit service to use a more efficient method for retrieving users.
- Added RERANKERS_ENABLED option to control reranking functionality.
- Updated rerank_documents function to handle cases when reranking is disabled.
- Enhanced documentation for environment variables related to rerankers in installation guides.
- Add BAIDU_SEARCH_API connector type to support Chinese web search
- Implement search_baidu() method in connector_service.py
- Add frontend configuration page for Baidu Search API
- Create Alembic migration for new enum values
- Add validation rules and agent integration
- Support configurable model, search source, and deep search options
- Update .gitignore to exclude .env.local and other env files
Addresses integration with Chinese search ecosystem for better local market support.
Baidu AI Search provides intelligent search with automatic summarization.
- RBAC soon??
- Updated various services and routes to handle search space-specific LLM preferences.
- Modified frontend components to pass search space ID for LLM configuration management.
- Removed onboarding page and settings page as part of the refactor.
