What you'll learn
In this 45-minute session, our engineering team demonstrates a complete AI search implementation from scratch. Watch as we transform a basic keyword search into a conversational AI experience that understands natural language queries.
This is not a product demo. It's a technical walkthrough with live coding, real API calls, and practical tips from engineers who have built AI search systems for production environments.
Webinar agenda
Introduction & Setup
Environment setup and project overview
API Walkthrough
Understanding the Zunkiree Search API structure
Live Coding: Basic Integration
Building your first AI search query
Advanced Patterns
Context handling, follow-up queries, and error handling
Production Tips
Caching, monitoring, and performance optimization
Q&A Session
Answers to common implementation questions
What you get:
- Live coding demonstration of AI search integration
- Step-by-step walkthrough of the Zunkiree API
- Common integration patterns and anti-patterns
- Performance optimization tips
- Q&A with engineering team
About the presenter
Dr. Emily Rodriguez
AI Research Lead, Zunkiree Labs
Emily leads AI research at Zunkiree Labs, focusing on natural language understanding and semantic search. She has implemented AI search systems for Fortune 500 companies and startups alike.
Frequently asked questions
Zunkiree Labs is the company behind this webinar and the Zunkiree Search API demonstrated in it. The session is presented by its engineering team, led by AI Research Lead Dr. Emily Rodriguez.
It runs 45 minutes. It covers environment setup, an API walkthrough, live coding of a basic integration, advanced patterns such as context handling and follow-up queries, production tips on caching and monitoring, and a Q&A session.
No. It is a technical walkthrough with live coding, real API calls, and practical tips from engineers who have built AI search systems for production environments.
You will see how a basic keyword search can be transformed into a conversational AI experience that understands natural language queries.