Standard version module
The standard version module summarizes 16 modules, their entry points and usage scenarios of Zhichao AI.
Standard version module list
The following modules constitute the main functional scope of Zhichao AI Standard Edition. Actual entry and availability may be affected by version, entitlement, and deployment configuration.
| Number | Module | Entry | Function |
|---|---|---|---|
| 1 | Zhichao AI Assistant | AI assistant entry at the top right | Conduct AI conversations based on the enterprise knowledge base, and answer questions in combination with online searches |
| 2 | AI search | Search bar | The search results include AI search content and use natural language to find corporate information |
| 3 | Zhisou | Zhichao AI section | Provides question answering, in-depth research and article writing capabilities |
| 4 | Text-to-image search | Zhichao AI section | Search for pictures in the drive through text description |
| 5 | Image-to-image search | Zhichao AI section, image thumbnail entry | Match similar images in the drive by uploading or selecting images |
| 6 | Image OCR | Search, Zhichao AI section | Recognize the text in the image and let the image content participate in the search |
| 7 | Document Assistant | File Preview Interface | Summary, Q&A and reading assistance based on the current document |
| 8 | AI automatic tagging | File list | Match the closest tag in the tag library for the selected document |
| 9 | Table Q&A | Excel file preview interface, Zhichao AI section | Q&A, table generation and function operations based on Excel |
| 10 | Deep thinking | AI assistant, spreadsheet Q&A, document assistant | Switch to a deeper reasoning mode for complex problems |
| 11 | Internet search | AI assistant | Search Internet content and answer with external knowledge |
| 12 | In-depth research | Intelligent search in the Zhichao AI section | Research-based answers are formed through multiple rounds of search and comprehensive sorting |
| 13 | Enterprise knowledge base | Backend server | Enterprise documents are automatically stored in the database to form a searchable knowledge base for question answering |
| 14 | Knowledge base robot | Zhichao AI section "Create an agent" | Create a customizable agent or knowledge base robot |
| 15 | PDF image search | Search bar | Search image content in PDF documents with images |
| 16 | MCP interface | Settings > API Keys; create a key, then copy API Key or the AI connection prompt | Provide permission-aware knowledge query, search, and file operations to Codex, WorkBuddy, OpenClaw, and other agents |
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Module relationship
These 16 modules can be divided into four groups: the first group is conversation, search, document reading and spreadsheet Q&A for employees; the second group is multimodal retrieval for images, PDF images and OCR; the third group is enterprise knowledge base, knowledge base robots and agent configuration for administrators and implementation teams; the fourth group is MCP interfaces, third-party data sources and on-demand development capabilities for development and integration.
Implementation suggestions
- First, identify the organization’s main task: "finding files", "reading documents", "supporting customers", "analyzing spreadsheets" or "providing an external knowledge base".
- Prioritize AI assistants, AI search, document assistants and spreadsheet Q&A for internal employees.
- Prioritize text-to-image search, image similarity search, image OCR and PDF image search for material or brand teams.
- Focus on configuring knowledge base robots and custom agents for customer service, pre-sales, training and policy Q&A scenarios.
- For external agents that need knowledge or file operations, use the BabelBird MCP quick start to plan credential scopes, folder access, and audit policy.
Permissions and usage boundaries
- Internal AI assistance, search and file references follow BabelBird permissions. Custom knowledge-base bots also have a knowledge scope and publication scope; anonymous publication should use knowledge suitable for that audience.
- Uploaded BabelBird files that AI can read are automatically ingested and vectorized for AI assistance, AI search and image search. Ingestion does not make files public. A custom knowledge-base bot uses the file scope selected or uploaded for it.
- External customer service, website embedding, third-party data sources, privately deployed models and GPU computing power are optional deployment or customization capabilities and should be subject to actual authorization, implementation plan and enterprise configuration.
- When AI answers involve high-risk content such as contracts, finance, medical, legal, and engineering safety, the AI output should be used as auxiliary information and reviewed by professionals.