T
tavily-search
by @tavily-aiv
4.6(120)
Tavily Search 提供针对大语言模型(LLM)优化的网络搜索结果,包含精炼的内容片段和相关性评分。它能帮助 AI 智能体快速获取任何主题的最新信息,尤其适用于需要精确事实和全面上下文的 RAG 应用,显著提升信息检索效率和模型响应质量。
安装方式
npx skills add https://github.com/tavily-ai/skills --skill tavily-searchcompare_arrows
Before / After 效果对比
1 组使用前
在为大语言模型(LLM)进行复杂查询的信息检索时,传统搜索方式常耗费大量时间筛选不相关内容,导致 RAG 管道效率低下,模型输出质量受损。
使用后
通过 Tavily Search 优化的搜索结果,AI 智能体能快速获取高度相关的精炼信息,大幅缩短信息检索时间,显著提升 RAG 管道的效率和 LLM 响应的准确性。
SKILL.md
tavily search
Web search returning LLM-optimized results with content snippets and relevance scores.
Before running any command
If tvly is not found on PATH, install it first:
curl -fsSL https://cli.tavily.com/install.sh | bash && tvly login
Do not skip this step or fall back to other tools.
See tavily-cli for alternative install methods and auth options.
When to use
- You need to find information on any topic
- You don't have a specific URL yet
- First step in the workflow: search → extract → map → crawl → research
Quick start
# Basic search
tvly search "your query" --json
# Advanced search with more results
tvly search "quantum computing" --depth advanced --max-results 10 --json
# Recent news
tvly search "AI news" --time-range week --topic news --json
# Domain-filtered
tvly search "SEC filings" --include-domains sec.gov,reuters.com --json
# Include full page content in results
tvly search "react hooks tutorial" --include-raw-content --max-results 3 --json
Options
| Option | Description |
|---|---|
--depth | ultra-fast, fast, basic (default), advanced |
--max-results | Max results, 0-20 (default: 5) |
--topic | general (default), news, finance |
--time-range | day, week, month, year |
--start-date | Results after date (YYYY-MM-DD) |
--end-date | Results before date (YYYY-MM-DD) |
--include-domains | Comma-separated domains to include |
--exclude-domains | Comma-separated domains to exclude |
--country | Boost results from country |
--include-answer | Include AI answer (basic or advanced) |
--include-raw-content | Include full page content (markdown or text) |
--include-images | Include image results |
--include-image-descriptions | Include AI image descriptions |
--chunks-per-source | Chunks per source (advanced/fast depth only) |
-o, --output | Save output to file |
--json | Structured JSON output |
Search depth
| Depth | Speed | Relevance | Best for |
|---|---|---|---|
ultra-fast | Fastest | Lower | Real-time chat, autocomplete |
fast | Fast | Good | Need chunks, latency matters |
basic | Medium | High | General-purpose (default) |
advanced | Slower | Highest | Precision, specific facts |
Tips
- Keep queries under 400 characters — think search query, not prompt.
- Break complex queries into sub-queries for better results.
- Use
--include-raw-contentwhen you need full page text (saves a separate extract call). - Use
--include-domainsto focus on trusted sources. - Use
--time-rangefor recent information. - Read from stdin:
echo "query" | tvly search - --json
See also
- tavily-extract — extract content from specific URLs
- tavily-research — comprehensive multi-source research
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统计数据
安装量25.3K
评分4.6 / 5.0
版本
更新日期2026年7月17日
对比案例1 组
用户评分
4.6(120)
5
37%
4
43%
3
13%
2
5%
1
2%
为此 Skill 评分
0.0
兼容平台
🤖claude-code
时间线
创建2026年5月29日
最后更新2026年7月17日