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Custom agents and knowledge base robots

Custom agents are used to build enterprise-specific knowledge bases, AI customer service, industry assistants, and multi-agent workflows.

Customized agent and knowledge base robot
Interface diagram of custom agents and knowledge base robots.

Function description

Custom agents are the core modules of Zhichao AI for enterprise knowledge bases and business assistants. Administrators or implementation teams can configure different agents for different business scenarios, such as customer service, knowledge base, analysts, writers, project assistants, pre-sales consultants or industry experts.

Customized knowledge base robot
Knowledge base robots can be used in corporate information Q&A, online customer service and exclusive knowledge assistant scenarios.

Main abilities

  • Customize the agent's personality, response logic and prompt words.
  • Specify the target folder or data range for the agent to learn.
  • Supports access to third-party data sources as URLs, depending on implementation configuration.
  • Provides preset templates for customer service, knowledge base, analysts, writing and other industries.
  • Supports multiple agents, allowing different agents to serve different problems according to business division.
  • Can generate embed code for use in third-party websites or corporate portals.
  • Can be used as an enterprise knowledge base robot to configure different assistants for different knowledge areas.

Knowledge base construction method

Enterprises can hand over product manuals, FAQs, customer service documents, system documents, training materials, project materials, etc. to designated agents for learning. Compared with traditional manual knowledge base compilation, Zhichao AI emphasizes directly using the company's existing documents to reduce the cost of repeatedly writing knowledge base entries.

Usage suggestions

  • Split agents according to business domains, such as "customer service robot", "pre-sales knowledge base", "internal system assistant" and "project data assistant".
  • Each agent specifies a clear learning scope and usage object to prevent one agent from carrying too much irrelevant knowledge.
  • External customer service agents should set answer boundaries, disclaimers, manual transfers and sensitive issue handling rules.

Permissions and usage boundaries

  • Zhichao AI’s answers, searches, and file references should follow Babel’s existing permission system. Users can only access content within their account, department, project, share, and file access controls.
  • Materials used for learning, training, indexing, or Q&A should be specified by the enterprise or administrator; all files should not be considered public knowledge sources by default.
  • External customer service, website embedding, third-party data sources, privatized 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.
BabelBird capabilities may change by product version, licensed modules and deployment configuration; actual availability depends on the deployed environment and administrator settings.