OpenClaw QQ Robot Search Integration

Search integration is one of the highest-ROI features you can add to a QQ robot. Most “AI questions” in groups are actually retrieval problems: where is the doc, what’s the policy, what’s the latest status? When search is done right, the bot becomes the fastest path to answers.

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

What search integration should deliver

A good search-integrated bot:

• retrieves top K snippets
• answers briefly
• includes sources
• avoids hallucinating beyond context

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 QQ bot host.

Define a strict search contract

# qq-search.yaml
search:
  top_k: 5
  answer_style: "bullets"
  must_cite: true
  refuse_if_no_sources: true

UX: show citations

Citations build trust in group chats.

Next step: deploy, then connect one content source

Start with one doc set (FAQ or runbooks), then expand.

• 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 no sources exist.

Once search works, many other “AI features” become easier because your bot can ground answers in real content.