Deep Research

Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when the user asks for deep research, comprehensive search, multi-source search, or needs results from Chinese platforms (Zhihu, Bilibili, WeChat). Falls back to built-in web_search if the API is unavailable.

Search across 11 sources simultaneously via a local Agentic RAG-CN API, then synthesize results with evidence tables and contradiction detection.

Prerequisites

Agentic RAG-CN must be running locally. Check with:

bash

curl -s http://localhost:18888/health

If unavailable, fall back to built-in web_search tool.

Usage

Call the API with a POST request:

bash

curl -s -X POST http://localhost:18888/api/analyze \
  -H "Content-Type: application/json" \
  -d '{"question": "用户的问题"}'

Parse the JSON response and present results to the user in a readable format.

Response Format

The API returns:

• answer — Structured answer with evidence tables
• sources — List of sources used (with URLs)
• confidence — Confidence score (0-1)
• contradictions — Any contradictions found across sources
• trace — Pipeline execution trace (16 steps)

When to Use vs Fallback

Condition	Action
API health check succeeds	Use deep-research API
API health check fails	Fall back to web_search
User asks about Chinese topics (知乎, B站, 微信)	Prefer deep-research
User asks general English questions	web_search is usually sufficient

Presenting Results

Format the response as:

1. Answer summary — 2-3 sentences
2. Evidence table — Key findings with sources
3. Contradictions (if any) — Highlight conflicting info
4. Sources — Numbered list of URLs