Intelligent & semantic search

Property management generates a lot of unstructured data: documents, communications, notes, descriptions. etg24 makes it findable — not just by keyword, but by meaning.

Search over data, documents, and the manual

• Data search — structured entities (objects, units, contacts, contracts) are searchable with filters.
• Document search — documents and their contents are indexed for retrieval.
• Semantic retrieval — queries match by meaning, not exact phrasing. The user-manual knowledge base is searchable the same way, so agents can answer how-to questions with correct context.
• Fast at scale — fulltext, semantic or hybrid search across 10k documents returns in under a second.

Available over REST and MCP

Both protocols expose search:

• REST — search endpoints in the Property Management v2 reference.
• MCP — dedicated meta-tools: meta.tools.search discovers the right tools, and meta.docs.search retrieves documents and manual content semantically. See the MCP meta-tools reference.

Practical impact

An agent answering “which units have an open maintenance issue?” can combine semantic document search with structured queries. A support automation can ground its answers in the actual manual instead of hallucinating. Search is a building block of every use case on the portal — not an afterthought.