web-search
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
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소스 지침 · 읽기 전용 미리보기- name
- web-search
- description
- Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
- allowed-tools
- Bash(infsh *)
# Web Search & Extraction
Search the web and extract content via [inference.sh](https://inference.sh) CLI.
## Quick Start
> Requires inference.sh CLI (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools`
```bash
infsh login
# Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'
```
## Available Apps
### Tavily
| App | App ID | Description |
|-----|--------|-------------|
| Search Assistant | `tavily/search-assistant` | AI-powered search with answers |
| Extract | `tavily/extract` | Extract content from URLs |
### Exa
| App | App ID | Description |
|-----|--------|-------------|
| Search | `exa/search` | Smart web search with AI |
| Answer | `exa/answer` | Direct factual answers |
| Extract | `exa/extract` | Extract and analyze web content |
## Examples
### Tavily Search
```bash
infsh app run tavily/search-assistant --input '{
"query": "What are the best practices for building AI agents?"
}'
```
Returns AI-generated answers with sources and images.
### Tavily Extract
```bash
infsh app run tavily/extract --input '{
"urls": ["https://example.com/article1", "https://example.com/article2"]
}'
```
Extracts clean text and images from multiple URLs.
### Exa Search
```bash
infsh app run exa/search --input '{
"query": "machine learning frameworks comparison"
}'
```
Returns highly relevant links with context.
### Exa Answer
```bash
infsh app run exa/answer --input '{
"question": "What is the population of Tokyo?"
}'
```
Returns direct factual answers.
### Exa Extract
```bash
infsh app run exa/extract --input '{
"url": "https://example.com/research-paper"
}'
```
Extracts and analyzes web page content.
## Workflow: Research + LLM
```bash
# 1. Search for information
infsh app run tavily/search-assistant --input '{
"query": "latest developments in quantum computing"
}' > search_results.json
# 2. Analyze with Claude
infsh app run openrouter/claude-sonnet-45 --input '{
"prompt": "Based on this research, summarize the key trends: <search-results>"
}'
```
## Workflow: Extract + Summarize
```bash
# 1. Extract content from URL
infsh app run tavily/extract --input '{
"urls": ["https://example.com/long-article"]
}' > content.json
# 2. Summarize with LLM
infsh app run openrouter/claude-haiku-45 --input '{
"prompt": "Summarize this article in 3 bullet points: <content>"
}'
```
## Use Cases
- **Research**: Gather information on any topic
- **RAG**: Retrieval-augmented generation
- **Fact-checking**: Verify claims with sources
- **Content aggregation**: Collect data from multiple sources
- **Agents**: Build research-capable AI agents
## Related Skills
```bash
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@agent-tools
# LLM models (combine with search for RAG)
npx skills add inference-sh/skills@llm-models
# Image generation
npx skills add inference-sh/skills@ai-image-generation
```
Browse all apps: `infsh app list`
## Documentation
- [Adding Tools to Agents](https://inference.sh/docs/agents/adding-tools) - Equip agents with search
- [Building a Research Agent](https://inference.sh/blog/guides/research-agent) - LLM + search integration guide
- [Tool Integration Tax](https://inference.sh/blog/tools/integration-tax) - Why pre-built tools matter
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