Connecting a Knowledge Base to WeCom and Feishu

A chat window is only the outer layer

Sending and receiving a bot message is easy. Reliable integration must identify the employee, inherit department permissions, retrieve the current version, provide accessible evidence, and degrade safely when a platform, model, or source system fails.

Use five clear layers

The access layer presents chat, workbench, web administration, citations, and feedback. The integration layer handles APIs, webhooks, signatures, contacts, identity mapping, retries, duplicate events, and platform changes.

The AI layer performs intent recognition, permission and metadata filtering, retrieval, and evidence-grounded generation. The knowledge core stores users, permissions, versions, metadata, original files, and search indexes. The operations layer monitors callbacks, retrieval, generation, delivery, feedback, backup, and recovery.

Carry identity end to end

Grant the enterprise app only necessary permissions and visibility. Map platform users to the knowledge identity and sync role changes. Never retrieve all knowledge through one superuser. Filter before retrieval and ensure every citation is accessible to the current user.

Choose integration depth by risk

Low-code is useful for simple read-only validation but requires careful review of data flow, logs, and exit options. Native document platforms can reuse existing permissions. Custom integration fits complex identity and system workflows but creates an ongoing API, security, and reliability obligation.

Start with read-only answers, then low-risk ticket or approval actions, and only later consider cross-system automation. Evaluate with real questions covering versions, permissions, no-answer cases, conflicts, and malicious input. Do not accept a universal accuracy promise without a defined test set and workload.

Based on the local enterprise knowledge-base integration plan and “Enterprise Knowledge Governance Platform” notes.