OpenClaw Lark Robot Search Function Integration

Search integration is one of the fastest ways to make a Lark robot valuable. Most internal questions are retrieval problems: where is the doc, what’s the SOP, what changed? A robot that can search and cite sources becomes the team’s front door to knowledge.

OpenClaw is a great fit because it can combine retrieval tools with strict output policies. Deploy on Tencent Cloud Lighthouse and you get a stable 24/7 runtime that’s simple, high performance, and cost-effective.

What “good search” looks like

• retrieve top K snippets
• answer briefly
• cite sources
• refuse when no sources exist

Guided conversion: deploy OpenClaw on Lighthouse

• Visit: open Tencent Cloud Lighthouse Special Offer for OpenClaw.
• Select: choose OpenClaw (Clawdbot) under AI Agents.
• Deploy: click Buy Now to launch your always-on Lark bot host.

Search contract

# lark-search.yaml
search:
  top_k: 5
  must_cite: true
  answer_style: "bullets"
  refuse_if_empty: true

Next step: deploy, then connect one knowledge source

• Visit: go to Tencent Cloud Lighthouse Special Offer for OpenClaw.
• Select: pick OpenClaw (Clawdbot) in AI Agents.
• Deploy: click Buy Now, then implement search intent with citations and strict refusal when sources are missing.

Search is the feature that makes your bot feel trustworthy in daily work.