# Python Tutorials for Building AI Agents

**Use case:** 

Get ranked results for Python tutorials on LangChain and AI agent development. Access insights and resources tailored for LLM agents.

## Input

```json
{
  "queries": [
    "python langchain tutorial 2025",
    "how to build ai agent python step by step"
  ],
  "query": "best open source vector databases 2026",
  "maxResults": 15,
  "includeContent": false,
  "region": "us-en",
  "safeSearch": true,
  "concurrency": 3,
  "useApifyProxy": true,
  "proxyGroups": []
}
```

## Output

```json
{
  "query": {
    "label": "Query",
    "format": "string"
  },
  "rank": {
    "label": "#",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "snippet": {
    "label": "Snippet",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "engine": {
    "label": "Engine",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [AI Web Search — Live SERP API for Agents (Tavily Alternative)](https://apify.com/logiover/ai-web-search) with a specific input configuration. Visit the [Actor detail page](https://apify.com/logiover/ai-web-search) to learn more, explore other use cases, and run it yourself.