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🚀 ContextIQ

Welcome to ContextIQ!
An intelligent conversational assistant that answers questions based on any content you provide.


📌 What is ContextIQ?

ContextIQ is an AI-powered chatbot generator that creates intelligent assistants from your own text, documents, and website content.

Instead of manually answering repetitive questions, ContextIQ learns from your content and responds instantly — based on context, not guessing.


❗ The Problem We Solve

Whether you have:

  • A website
  • A knowledge base
  • A collection of documents

Answering customer questions manually is time-consuming.

ContextIQ eliminates this by understanding your content and answering questions intelligently in real-time.


⚙️ How It Works

ContextIQ uses a technology called RAG (Retrieval-Augmented Generation):

🔍 Retrieval

Finds the most relevant information from your content.

🧠 Generation

Uses AI to craft a clear, helpful answer based on that information.

This approach ensures answers are grounded in your actual content —
no hallucinations, just facts.


✨ Key Features

  • Text Input Support — Paste any text, and the chatbot learns from it instantly
  • Website Crawling — Automatically reads and indexes every page on your website
  • Content Understanding — Converts text into searchable knowledge the AI can reason with
  • Instant Answers — Responds to user questions in seconds
  • Document Support — Upload PDFs, Word files, and text documents
  • Web Search Integration — Pulls in information from the internet for additional context
  • Easy Deployment — Embed on your website with minimal setup

🎯 Why ContextIQ?

ContextIQ transforms your content into a smart assistant that:

  • Saves time
  • Reduces support workload
  • Improves customer experience
  • Scales effortlessly

🛠️ Getting Started

  1. Upload your text, documents, or website URL
  2. Let ContextIQ index your content
  3. Deploy your chatbot
  4. Start answering questions instantly 🚀

Made with ❤️ using AI

About

Built an end-to-end Retrieval-Augmented Generation pipeline using FastAPI, Qdrant, OpenAI embeddings, and Gradio to deliver context-grounded answers from scraped website data with semantic search and similarity-based retrieval.

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