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AI App 2025 4 months Enterprise SaaS

ChatGenius

Enterprise-grade AI chatbot platform with RAG (Retrieval-Augmented Generation) pipelines, multi-LLM support, knowledge base integration, and real-time conversational AI that understands your business data.

LangChainOpenAIPineconeNext.jsPythonWebSocket
ChatGenius

The Challenge

The client's customer support team was overwhelmed handling 2,000+ tickets daily. Existing chatbots gave generic responses and couldn't access company-specific knowledge. They needed an AI that could understand their product documentation, sales data, and internal processes to provide accurate, contextual responses.

The Solution

Architected a RAG-based chatbot platform using LangChain for orchestration, Pinecone for vector storage, and OpenAI GPT-4 for generation. Built intelligent document ingestion pipelines that chunk, embed, and index knowledge bases. Implemented hybrid search (semantic + keyword) for maximum retrieval accuracy. Created a Next.js admin dashboard for managing knowledge bases, monitoring conversations, and fine-tuning responses.

Key Features

RAG pipeline with hybrid search (semantic + keyword)
Multi-LLM support (GPT-4, Claude, Llama)
Knowledge base ingestion (PDF, CSV, Docs, URLs)
Real-time streaming responses via WebSocket
Conversation memory with context windowing
Admin dashboard with analytics and monitoring
Custom persona and tone configuration
API and widget for website embedding

Results & Impact

70% reduction in support ticket volume

95% accuracy on domain-specific questions

Average response time under 3 seconds

Customer satisfaction increased from 72% to 94%

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