How to Connect OpenAI’s Realtime API to a Knowledge Base
In this video, we're diving into how to build a brain for the OpenAI Realtime API that can ingest documents and answer with surgical precision. This enhancement makes your AI assistant truly usable for your business, allowing you to update the knowledge base in seconds.
Discover how to:
Set up your AI assistant with OpenAI's Realtime API
Connect the Realtime API to a dynamic knowledge base
Integrate with Pinecone for instant knowledge retrieval
Deploy your intelligent assistant with minimal coding required
Whether you're an AI enthusiast, developer, or business owner, you'll learn practical, step-by-step techniques to create your own AI assistant that provides accurate and detailed responses in real time. By the end of this video, you'll have the knowledge to set up and run your own AI system that evolves with your business needs.
🚀 Gumroad Link to Assets in Video: https://bit.ly/4061w9r
🤖 Apply to join the Early AI-dopters Community: https://bit.ly/3ZMWJIb
🌐 Visit My Agency Website: https://bit.ly/4cD9jhG
📅 Book a Paid Consultation: https://bit.ly/3Ml5AKW
👋 About Me: I’m Mark, owner of Prompt Advisers. For the past two years, we’ve been helping companies across industries integrate AI effectively into their workflows. With my experience in AI automation, I’m here to help you maximize the potential of your AI projects.
Don’t miss the special demo at the end—a fully functional AI assistant connected to a knowledge base, showcasing the power of OpenAI’s Realtime API!
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TIMESTAMPS ⏳
0:00 Hello and welcome
0:03 Request for marketing growth data
0:11 AI marketing market size forecast
0:23 Overview of video goal
0:31 Connecting API to knowledge base
1:00 Introduction by Mark from Prompt Advisors
1:15 Overview of setting up the solution
1:29 Using prompts as a pseudo brain
1:46 Setting up voice assistant workflow
2:28 Explanation of Twilio setup
3:00 Real-time API connected to documents
3:50 Using Replit for deployment
4:44 Twilio costs and setup
5:52 Native real-time API conversation features
6:10 Interruption handling improvement
7:00 Pinecone integration overview
8:11 Uploading documents to Pinecone
9:45 Forking code in Replit
10:30 Entering API keys in Replit
11:07 Pinecone assistant demo setup
12:15 Testing knowledge-based responses
14:10 Deploying the solution
16:00 Linking Twilio to Replit deployment
18:00 Demonstration of voice interactions
19:02 Final thoughts and improvements
19:50 Encouraging comments and support
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