Make an AI Chatbot that KNOWS YOUR BUSINESS with Wix and OpenAI ChatGPT + Embeddings

Hey there, NewForm Community! Welcome back to the ever-evolving world of AI chatbots, where today we're taking your digital assistant to another level. If you've ever built a chatbot, you might have faced the age-old dilemma of how to ensure your bot answers relevant questions about your unique business. Sure, OpenAI models are trained on a mammoth amount of information from across the internet, but how do they handle queries like, "When is your business open?" or "Do you have gluten-free options?" It's a bit tricky, right? But worry not! We've got a fantastic solution using semantic search and Wix. Get ready, because by the end of this post, you’ll know how to create an AI chatbot that doesn’t just answer questions—it answers your questions.

Understanding the Challenge

Our first hurdle is making sure our chatbot isn’t just another generic internet bot, but one that knows the ins and outs of your business. When someone asks, "Where are you located?" or mentions a dietary restriction like gluten, we don’t want generic responses. Instead, the chatbot should deliver specific and relevant answers. Enter the concept of semantic search—a smart way to organize all your business info and store it in a vector database. This process allows your bot to compare the meaning behind the user's question and the stored data, delivering precise context at each question stage.

The Basics: Set Up your Wix Chatbot with OpenAI

First things first, to build this knowledgeable bot, you need to set up some foundational elements. If you've been following along with previous tutorials, you might already have your Wix native chat app hooked up with OpenAI’s GPT-3.5 turbo model. Here's a quick refresher:

1. Install the Wix Chat App and ensure that it's properly linked to your site.

2. Create backend functionality using OpenAI's endpoint for embedding and cosine similarity functions.

3. Use `masterPage.js` to intercept user queries and direct them to your chatbot API.

For an intuitive chatbot, these steps ensure that you have the framework necessary for dynamic conversation flow.

Semantic Search: The Real Magic

To truly tailor your chatbot to your business, we employ semantic search. Rather than relying on basic keyword searches—where the potential for misunderstanding user intent is high—we leverage embeddings. Think of these as mathematical representations capturing the essence of words and their meanings.

During setup:

- Create a Vector Database: Gather all your business information, split it into digestible pieces, and insert these into a Wix collection—our special database where the bot will hunt for context.

- Assign Vector Embeddings: Each piece of business information gets a vector through OpenAI’s embedding API so that you can later compare it with user queries.

Creating Vector Embeddings

Here's where we get a little more technical. Imagine every query and database entry converted into vectors. By comparing these vectors using cosine similarity, we rank how closely a piece of information matches a query, putting the most relevant ones at the forefront. This method ensures a precise, context-rich answer to user queries, all while efficiently managing token costs and limits.

Putting It All Together: The Chatbot Experience

Once your vectors are in place, your chatbot can deliver more than rote answers. Let's break down the workflow:

1. Load Business Info: When the user arrives on your site, load the business information once per session to save time and resources.

2. User Input Handling: Each user message is compared against your business database, identifying the most semantically relevant pieces.

3. Generate Contextual Responses: Use ranked responses to provide rich, informed answers without exceeding token limits.

The result? A chatbot that not only assists but knows your business inside out!

Challenges and Solutions

You might stumble upon issues like storage limitations or slow response times with larger datasets. Here’s where strategic structuring and sharding can help. Break data into categories to narrow down the context search, thus speeding up the process. Remember, you’re creating a bot that grows smarter every time it’s used - a reflection of a truly smart AI assistant.

Join the NewForm Community

Congratulations, you’ve just untangled the mysteries of creating an AI chatbot savvy enough to hold its own on your website. But the journey doesn’t end here! At NewForm, we’re dedicated to honing your design skills, offering marketplace opportunities, and connecting you with elite industry leaders. Jump into our monthly web design challenges for cash prizes, elevate your skills in weekly events, and gain insights from exclusive sessions with top web design professionals.

So, if you're ready to take your expertise to new heights, get in on the action, and join a community of creatives just like you—there’s no better time! Head over to NewForm after diving into this post for more incredible opportunities! Until next time, happy designing!

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