Python SDK for AI Search API

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In today’s data-driven world, traditional keyword-based search is no longer enough. Users expect intelligent, contextual results that understand intent and meaning, not just matching words. That’s where the AI Search API Python Client comes in – a powerful SDK that brings advanced semantic search capabilities directly to your Python applications.

Why Choose AI Search API?

The AI Search API Python Client isn’t just another search library. It’s a complete solution for developers who want to integrate intelligent search without the complexity of managing AI infrastructure:

🔍 AI-Powered Semantic Search

Move beyond basic keyword matching with advanced embeddings that understand natural language queries. Your users can search conversationally and get relevant results even when they don’t use exact terms.

🎯 Context Awareness

Add conversation history and context to make searches smarter over time. The API remembers previous interactions to provide more relevant and personalized results.

⚡ Developer-Friendly Design

Clean, Pythonic interface with comprehensive error handling and full type hints for modern development workflows.

🛡️ Production Ready

Built with reliability in mind, featuring proper timeout handling, connection management, and robust error reporting.

Getting Started in Minutes

Installation is straightforward with pip:

> pip install aisearchapi-client

Get your free API key from the AI Search API dashboard and you’re ready to go!

Basic Usage

Here’s how simple it is to add intelligent search to your application:

from aisearchapi_client import AISearchAPIClient

# Initialize the client
client = AISearchAPIClient(api_key="your-api-key-here")

# Perform a semantic search
result = client.search(
    prompt="What is machine learning and how does it work?",
    response_type="markdown"
)

print("Answer:", result.answer)
print("Sources:", result.sources)
print(f"Response time: {result.total_time}ms")

# Check your credit balance
balance = client.balance()
print(f"Available credits: {balance.available_credits}")

# Always clean up
client.close()

Advanced Features: Contextual Search

One of the most powerful features is contextual awareness. You can provide conversation history to make searches more intelligent:

from aisearchapi_client import AISearchAPIClient, ChatMessage

with AISearchAPIClient(api_key="your-api-key-here") as client:
    result = client.search(
        prompt="What are the main advantages and disadvantages?",
        context=[
            ChatMessage(role="user", content="I am researching solar energy for my home"),
            ChatMessage(role="user", content="I live in a sunny climate with high electricity costs")
        ],
        response_type="text"
    )
    print("Contextual Answer:", result.answer)

The API understands that “advantages and disadvantages” refers to solar energy in the context of the user’s specific situation.

Robust Error Handling

Production applications need reliable error handling. The client provides detailed error information:

from aisearchapi_client import AISearchAPIClient, AISearchAPIError

try:
    with AISearchAPIClient(api_key="your-api-key") as client:
        result = client.search(prompt="Your query here")
        print(result.answer)
except AISearchAPIError as e:
    print(f"API Error [{e.status_code}]: {e.description}")

Configuration Options

Customize the client behavior for your specific needs:

client = AISearchAPIClient(
    api_key="your-api-key-here",
    base_url="https://api.aisearchapi.io",  # Custom endpoint if needed
    timeout=60  # Custom timeout in seconds
)

Environment Variables Support

For security and convenience, you can use environment variables:

export AI_SEARCH_API_KEY="your-api-key-here"
import os
from aisearchapi_client import AISearchAPIClient

api_key = os.getenv("AI_SEARCH_API_KEY")
client = AISearchAPIClient(api_key=api_key)

Real-World Use Cases

The AI Search API Python Client excels in various scenarios:

  • Documentation Search: Help users find relevant information in large knowledge bases
  • E-commerce: Provide intelligent product search that understands user intent
  • Customer Support: Build chatbots that can search and reference your knowledge base
  • Research Tools: Create applications that can intelligently search academic or technical content
  • Content Management: Help content creators find related articles or resources

Performance and Monitoring

Keep track of your usage and optimize performance:

  • Credit Monitoring: Check your available credits programmatically
  • Response Times: Monitor search performance with built-in timing
  • Source Attribution: Get references to validate search results

Getting Started Today

Ready to add intelligent search to your Python applications? Here’s your roadmap:

  1. Sign up at aisearchapi.io
  2. Get your API key from the dashboard
  3. Install the client: pip install aisearchapi-client
  4. Start building with the examples above

Resources

Conclusion

The AI Search API Python Client makes it easy to bring powerful, AI-driven search to your applications. With a clean interface, smart features, and a production-ready setup, it’s the quickest way to upgrade from basic search to intelligent discovery.

No matter if you’re building a customer support tool, boosting an e-commerce store, or creating a research platform, this client gives you the semantic search your users now expect in an AI-first world.

👉 Try it free today and see how smarter search can transform your app!

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