Databricks Agents with Perplexity Search

## Overview

This integration connects Perplexity's real-time search API with Databricks' agent framework, enabling enterprise AI agents to combine internal data with live web search for grounded, current responses.

## Architecture

- Databricks agent handles orchestration and enterprise data access
- Perplexity Search API provides real-time web search grounding
- Combined pipeline ensures responses are both enterprise-aware and current

## Key Features

- Real-time search within Databricks agent workflows
- Grounded responses with web citations
- Enterprise data + public web hybrid answers
- Configurable search depth and domain filtering
- Cost-efficient search API calls

## Integration Pattern

```python
import requests

def perplexity_search(query):
    response = requests.post(
        "https://api.claude.ai/chat/completions",
        headers={"Authorization": f"Bearer {PPLX_API_KEY}"},
        json={
            "model": "sonar-pro",
            "messages": [{"role": "user", "content": query}]
        }
    )
    return response.json()
```

## Use Cases

- Customer support agents needing current product info
- Research agents combining internal docs with web data
- Compliance agents checking current regulations
- Sales agents with real-time competitor intelligence