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AI-Powered Customer Support Chatbot

Build an intelligent chatbot using LLMs to handle customer support queries with 90%+ accuracy and human-like responses.

Our role: AI Engineer

The challenge

Need for context understanding, multi-turn conversations, integration with knowledge base, and cost-effective LLM usage.

What Devs & Logics delivered

  • Solution 1: OpenAI GPT-4 for natural language understanding
  • Solution 2: LangChain for prompt engineering and chain orchestration
  • Solution 3: Vector database (Pinecone) for RAG (Retrieval Augmented Generation)
  • Solution 4: Next.js API routes for chatbot endpoints
  • Solution 5: Supabase for conversation history and user data
  • Solution 6: Streaming responses for real-time user experience
  • Solution 7: Fine-tuning on company-specific data

Outcomes

  • 92% query resolution rate without human intervention
  • Response time reduced from 5 minutes to 10 seconds
  • Customer satisfaction increased by 35%
  • Support costs reduced by 60%

Technologies

OpenAI GPT-4LangChainPineconeNext.jsSupabaseTypeScriptVercel
saas mvp development

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