Deep Research

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:

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

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

Usage

Call the API with a POST request:

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