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RagBot - AI-Powered Knowledge Assistant

Intelligent chatbot using RAG architecture for accurate, context-aware responses from custom knowledge bases.

RagBot - AI-Powered Knowledge Assistant

Overview

RagBot is an AI-powered chatbot built using Retrieval-Augmented Generation (RAG) architecture. Unlike traditional chatbots that rely solely on pre-trained knowledge, RagBot retrieves relevant context from a custom knowledge base before generating responses, ensuring accuracy and relevance. The system uses vector embeddings for semantic search, allowing it to understand the meaning behind queries rather than just matching keywords. Deployed on Vercel for instant scaling and global edge performance, RagBot delivers sub-second response times while maintaining context throughout conversations.

Key Features

  • RAG architecture for accurate responses
  • Vector-based semantic search
  • Custom knowledge base integration
  • Context-aware conversations
  • Sub-second response times
  • Conversation memory
  • Easy knowledge base updates
  • API-first design

Results

Deployed on Vercel edge
Sub-second response times
High accuracy responses
Scalable architecture

Tech Stack

Node.jsOpenAI APIVector DatabaseVercelREST APITypeScript

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