Mayank Tiwari

AI Integration · Case study

AI-Based Chatbot SaaS Platform

SaaS platform for businesses to deploy AI chatbots with custom knowledge bases.

The challenge

Businesses needed intelligent chatbots that could answer customer questions about their specific services and FAQ.

What I built

Built a SaaS platform where users can subscribe to AI chatbots configured with their business information using vector databases for accurate, contextual responses.

Results

  • Deployed intelligent chatbots for multiple clients
  • Automated customer support with contextual responses
  • Subscription-based revenue model implemented
  • Reduced customer service workload significantly

Tech stack

  • Next.js
  • OpenAI API
  • n8n
  • PostgreSQL
  • Vector Database

Code sketch

A simplified illustration of the core logic, not production code.

// AI Chatbot with Vector Database
const processChatMessage = async (message, clientId) => {
  // Retrieve client-specific knowledge base
  const clientKnowledge = await vectorDB.query({
    vector: await embedMessage(message),
    filter: { client_id: clientId },
    topK: 5
  });
  
  // Generate response using OpenAI with context
  const response = await openai.createCompletion({
    model: "gpt-3.5-turbo",
    messages: [
      { role: "system", content: `You are a helpful assistant for ${clientKnowledge.company}` },
      { role: "user", content: message }
    ],
    context: clientKnowledge.documents
  });
  
  return response.choices[0].message.content;
};

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