Features¶
The features of the Intelligent Q&A are summarized in the table below:
| Module | Features | Description |
|---|---|---|
| Conversation | Context-Aware Intelligent Q&A | Connects application corpus to achieve context-aware intelligent Q&A functionality |
| User Interaction Optimization | Supports users to evaluate, copy, regenerate, delete conversations, or submit feedback on AI responses, enhancing user experience | |
| Application Center | Application Lifecycle Management | Provides full lifecycle management from creation, deployment, monitoring to maintenance |
| Environment Isolation | Supports binding or unbinding of workspaces to achieve environment isolation, ensuring application security | |
| Model Service Integration | Integrates GLM, Llama, and other model services, enhancing the efficiency of RAG (Retrieval-Augmented Generation) applications | |
| Diverse Configuration Options | Offers options for AI configuration, corpus association, retrieval strategies, etc., to optimize AI response quality | |
| Application Key Support | Supports generation of application keys for secure access to OpenAPI conversations | |
| Application Link Sharing | Allows link sharing of applications and supports H5 page display for mobile use | |
| Conversation Process Viewing | Supports viewing the complete conversation process, enhancing user experience and troubleshooting efficiency | |
| Combination Application Support | Supports combination applications for intent recognition, enhancing the ability to handle complex scenarios | |
| Language Translation Support | Supports translation of user input content, improving the accuracy of corpus matching | |
| Multilingual Response Selection | Allows users to choose the language of AI responses, catering to multilingual scenarios | |
| Full Text Reading Application Support | New full text reading application, supports displaying image content | |
| Support for Numbers and Chemical Formulas | Supports the display of mathematical formulas and chemical equations, enhancing the user experience in academic and research contexts | |
| Corpus Management | Multiple Import Methods | Supports various methods for managing the corpus, including standard import, formatted import, manual import, and image-text import |
| Intelligent Sharding | Supports automatic sharding by delimiter or size, with customizable sharding logic through plugins | |
| Data Security and Isolation | Supports setting access levels for the corpus to ensure data security and isolation | |
| File Upload Preview | Introduces a shard information preview feature during file uploads | |
| Convenient Data Export | Supports exporting corpus data in CSV and Excel formats for subsequent analysis and processing | |
| OpenAPI Functionality Enhancement | Supports file upload, sharding processing, and vectorization functions | |
| Data Analysis | Key Metrics Analysis | Provides analysis of key metrics such as Q&A quality, frequency, sharding quality, and hit rate, helping to optimize Q&A services |
| User Feedback Processing | Collects and processes user feedback information, continuously improving Q&A services and enhancing satisfaction | |
| Feedback Tracking and Optimization | Tracks user feedback, ensuring timely resolution of issues and continuously optimizing user experience |