AI
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
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