Context Protocol Docs
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  • PROTOCOL OVERVIEW
    • ✖️About Context Protocol
    • 👾Why Context Protocol?
      • Verified AI-Ready Domains (VARD)
      • Training AI with verified data
      • SaaS Solution
    • 🤖Technology behind Context
    • 📈$TEX Token
      • Multi-chain token
      • Token Utility
      • Governance
      • Allocation
    • 🧐Use Cases and Applications
      • 📢Telegram bot for updates
      • 🔵Basenames integration
      • 🌎dWeb: Descentralized Website
      • 📌Decentralized Link3
  • DEVELOPERS
    • 👨‍💻Why build on Context
    • 🏗️Typescript SDK
      • Initialization
      • Working with Domains
      • Managing Documents
      • Creating Templates
      • Assets
      • Error Handling
    • 📑Example Workflow
    • ✨Create your first Domain
  • COMMUNITY
    • 🪂Community Program
    • 🫂Social Media
  • RESOURCES
    • 🛟Support
    • 🖥️WebApp
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  1. PROTOCOL OVERVIEW
  2. Why Context Protocol?

Training AI with verified data

PreviousVerified AI-Ready Domains (VARD)NextSaaS Solution

Last updated 3 months ago

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Real-time Vector Database to expand AI capabilities

Our advanced vector database is key to training trustworthy AI models.

Context Protocol enables AI systems to train and operate with verified data sources in real-time. By providing semantically structured, authority-verified information, we ensure AI agents can:

  • Access trusted, current data for decision-making

  • Build knowledge bases from verified sources

  • Retrieve information with guaranteed authenticity

  • Update their understanding in real-time

  • Maintain traceability of all data sources

Our semantic structure transforms raw verified data into AI-ready knowledge, enabling:

  • Reliable RAG systems with verified sources

  • Trusted agent-to-agent interactions

  • Real-time knowledge updates

  • Traceable information lineage

  • Authority-verified information retrieval

This creates a foundation where AI can operate with confidence, knowing every piece of information is verified and traceable to its source.

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