Enterprise Knowledge Base
Make enterprise knowledge searchable, answerable and reasoned over.
Consolidate knowledge scattered across documents, systems and conversations, with two capabilities: RAG-based cited Q&A, and knowledge-graph-based relationship queries and reasoning.
Core Capabilities
01
Ingestion & parsing
Aggregate documents, web pages, IM and attachments; auto-parse, chunk and vectorize; multi-modal across PDF, tables and images.
02
Retrieval-augmented Q&A (RAG)
Vector search retrieves relevant chunks; the LLM generates answers with source citations — traceable and auditable.
03
Knowledge graph
Extract entities and relations, build a domain ontology; support relationship queries, impact analysis and graph reasoning — for structured questions RAG can't answer.
04
Available to agents
Knowledge scoped per org / project, exposed to agents as a tool so answers stay grounded and sourced.
05
Deployment & access
Multi-tenant + RBAC; private deployment and local inference; connects to WeChat Work / WeChat / Feishu / DingTalk / WhatsApp.
Traceable, auditable and privately deployable — the prerequisites for a knowledge base in enterprise production.
RAG vs. knowledge graph: different jobs
RAG · retrieval-augmented Q&A
What's the inspection cycle for equipment X?
Vector retrieval + LLM generation, with citations. Good for "find the answer".
Knowledge graph · relationship reasoning
If we change this spec, which equipment, lines and owners are affected?
Structured entities and relations for impact analysis and compliance tracing. Good for "see the relationships".
Knowledge graph in the enterprise
Equipment & assets
Spare-part interchange and impact analysis: which lines and orders a stoppage hits.
Compliance & policy
When a regulation / standard changes, locate affected processes, documents and owners.
Org & expertise
People–skill–project graph to find the right person by capability.
Supply chain & BOM
Material–supplier–alternative relations for sourcing and outage response.
Knowledge graph: from relations to reasoning
Drag nodes · hover to highlight · click a query for impact paths