Alphakek AI
WebsiteTwitterTelegramDiscordBlog
  • Introduction
  • AIKEK Network
  • Case Studies
  • Tokenomics
  • Roadmap
  • RESEARCH
    • Fractal
    • DeFAI Terminal
      • Chat Summary
      • Wallet Finder
      • Token Audit
      • Sentiment Analysis
      • AI News Search
    • Onchain Analysis
  • CREATE
    • Meme Generator
      • Text-to-Image
      • Effect
      • Mirage
      • Caption Meme
      • Text-to-Video
    • Meme Models
    • Prompt Enhancer
  • Launch
    • AI Agents
      • Agent Swarm
    • Universal Agents
    • Knowledge Swarms
    • NFT Art Generation
  • DEVELOPERS
    • Enterprise API
      • Memelord API
      • Wizard API
      • Alpha Alerts API
    • API Pricing
    • Changelog
  • GUIDES
    • Bot Commands
    • User Tiers
    • Bridging to Base
    • Bridging to Solana
    • API Usage Examples
    • AIKEK vs. ChatGPT
    • AIKEK vs. Stability AI
  • LEGAL
    • Privacy Policy
    • Token Disclosure
  • LINKS
    • Team
    • DexScreener
    • Twitter
    • Telegram
    • Website
    • Discord
    • Warpcast
    • Blog
    • Email
Powered by GitBook
On this page
  • How It Works
  • Why It's Unique
  1. Launch

Knowledge Swarms

Build a custom AI knowledge engine for your ecosystem.

PreviousUniversal AgentsNextNFT Art Generation

Last updated 28 days ago

Knowledge Swarms are custom AI knowledge engines tailored to your project’s unique data. It aggregates, synthesizes, and updates information from public/private sources (news, on-chain activity, social media, docs) into a unified system accessible via APIs, AI agents, or applications.

Think of it as:

  • A self-updating, high-context “brain” for your project or topic.

  • A scalable alternative to static knowledge bases or brittle RAG pipelines.

Built on Fractal, our proprietary knowledge engine that removes redundancy and ensures real-time accuracy.

How It Works


  1. Define Scope:

    • Identify your data needs and sources for ingestion

    • For example: Learn Pudgy Penguins ecosystem updates, US stock news, or BNB Chain developer activity.

  2. Pipeline Setup:

    • Public Sources: News, social media, blockchain transactions.

    • Private Sources: Internal docs, proprietary APIs.

    • Custom Sources: We build scrapers or integrate new APIs.

  3. Fractal Integration

    • Fractal groups related data into subgraphs, e.g. all Pudgy Penguin trades + related tweets + lore updates.

    • Updates subgraphs in real-time as data changes.

  4. Model Training

    • Your custom AI model connects to the knowledge engine, learning from Fractal’s structured subgraphs.

  5. Deployment

    • Powers your custom AI models and Universal Agents

    • Which in turns, powers any front-end: chatbots, AI agents, games, analytics dashboards, and more.

Typical integration time: 3–7 days.

Why It's Unique


For Crypto Projects: Fractal natively handles overlapping on-chain and off-chain data, e.g. linking a token’s price drop to Reddit speculation + exchange outflows.

Sustainability: Reduces token usage by 30–50% vs. traditional RAG by eliminating redundant data.

Real-Time Context: Automatically update answers when new data arrives, e.g. notify users if a protocol hack impacts their query.

Custom Data Pipelines: We adapt to your sources, whether scraping forums or parsing onchain transactions.

Enterprise-Ready: Deploy outputs as APIs, AI agents, or embed into existing apps via Universal Agents.

or to build your own Knowledge Swarm.

Contact us
apply here
Overview of Fractal, our knowledge engine.