Integrating WordPress FAQ data into a custom chatbot: Seeking guidance

Other Questions N8n
1

Hey everyone! I’m new to n8n and I’m trying to build a chatbot that uses my WordPress FAQ page as its main source of info. I’ve got the basics set up:

  • WordPress node connected and working
  • Set to grab my FAQ page content

But here’s the problem: When I ask the chatbot something, it looks like the WordPress node is doing its thing, but the bot still gives me ChatGPT answers instead of using my FAQ info.

What I want to know: How can I make sure the bot checks my FAQ first before using ChatGPT as a backup? Any tips on making this work better?

I’ve played around with some n8n templates and made a few simple workflows, but this one’s got me stuck. If anyone’s done something similar or has ideas, I’d love to hear them!

Here’s a quick example of what I’m trying to do:

function getFAQAnswer(question) {
  // This should check the WordPress FAQ first
  let faqAnswer = checkWordPressFAQ(question);
  
  if (faqAnswer) {
    return faqAnswer;
  } else {
    // Only use ChatGPT if FAQ doesn't have the answer
    return getChatGPTAnswer(question);
  }
}

Thanks for any help you can give!

2

yo, i dealt with smthin similar before. try usin a fuzzy matching algorithm to compare user questions with ur FAQ. it’s more flexible than exact keyword matching.

also, make sure ur extracting the FAQ data correctly. sometimes WP’s formatting can mess things up.

if nothin else works, u could always train chatGPT on ur FAQ data. That way it’ll have ur info baked in.

3

I’ve actually tackled a similar project recently, and I can share some insights that might help you out.

One approach that worked well for me was implementing a keyword matching system. Essentially, I extracted key terms from the FAQ content and created a mapping between those terms and the corresponding answers. When a user query comes in, I first run it through this keyword matcher to see if there’s a relevant FAQ entry.

Something like this:

function matchFAQKeywords(question) {
  // Extract keywords from question
  // Compare against FAQ keyword map
  // Return matching FAQ answer if found
}

Only if this doesn’t return a match do I then pass the query to ChatGPT. This ensures the FAQ content takes priority.

Another crucial element was fine-tuning the WordPress data extraction. Make sure you’re parsing the FAQ content effectively, possibly using HTML tags or custom fields to clearly delineate questions and answers.

Lastly, consider implementing a confidence score for the FAQ matches. This allows you to set a threshold - if the match confidence is high, use the FAQ answer; if it’s low, defer to ChatGPT.

Hope this helps point you in the right direction!

4

I’ve encountered similar challenges when integrating external data sources with AI chatbots. One effective approach is to implement a two-stage response system. First, process the user’s query through a natural language understanding (NLU) module to extract intent and entities. Then, use these to search your WordPress FAQ database.

If a match is found, return that as the primary response. Only if no suitable match is identified should the system default to ChatGPT. This ensures your curated content takes precedence.

Additionally, consider maintaining a separate, optimized index of your FAQ content for faster searching. This can significantly improve response times compared to querying WordPress directly for each interaction.

Remember to regularly update and sync your FAQ index to reflect any changes made in WordPress. This maintains consistency between your website and chatbot responses.