🚀 World LLM Network

Chat with Any Content
Using Simple APIs

No vector databases. No complex RAG pipelines. Just powerful LLM APIs that understand your documents, videos, and web content instantly.

100 free credits monthly
Start building in minutes
Trusted by developers at
TechStartup EdTech Inc DataCorp AI Solutions
❌ The Problem

Building AI that understands content is painfully complex

Traditional RAG systems force you to:

  • ! Set up and maintain vector databases - Complex infrastructure that costs $500+/month
  • ! Design chunking strategies - That inevitably lose important context
  • ! Tune similarity search algorithms - Endless optimization with mediocre results
  • ! Build complex retrieval pipelines - Weeks of development for basic functionality
✅ The Solution

WLN.ai's Long Context APIs - The RAG Alternative

We leverage cutting-edge 1M+ token context windows to give you:

  • Direct API calls - No infrastructure setup required
  • Full document understanding - No context lost in chunks
  • 36-hour session memory - Conversations that actually remember
  • 70% cost savings - Through intelligent context caching
  • 5-minute integration - Works with 5,000+ apps instantly

Everything You Need for AI-Powered Apps

Transform any content into conversational AI experiences with our comprehensive API suite

Chat with Everything

Transform any content into conversational AI experiences:

  • 🎥 YouTube Videos - Extract insights from any video
  • 🌐 Web Pages - Understand articles, docs, blogs
  • 🔍 Google Search - Analyze results intelligently
  • 📰 Google News - AI-powered summaries
  • 🛍️ Shopping Data - Compare products instantly

Built for Developers

Everything you need, nothing you don't:

  • 📊 Pay-per-use credits
  • 🔌 Zapier, n8n, Make.com ready
  • 📖 Simple documentation
  • 🚀 Instant API keys
  • 💾 Context caching included

Enterprise-Ready

Scale confidently with:

  • 🔒 SOC 2 compliant infrastructure
  • 99.9% uptime SLA
  • 🌍 Global CDN
  • 📞 24/7 support
  • 📈 Usage analytics

1M+ Token Context

Process entire documents without chunking:

  • 📚 Full books & papers
  • 📄 Long documents
  • 🎬 Hours of video transcripts
  • 💬 Extended conversations
  • 🔗 Multiple sources at once

36-Hour Sessions

Conversations that remember context:

  • 🧠 Persistent memory
  • 💬 Multi-turn conversations
  • 📊 Context accumulation
  • Fast follow-ups
  • 💰 Cost-efficient caching

5,000+ Integrations

Connect with your favorite tools:

  • Zapier workflows
  • 🔧 n8n automation
  • 🎯 Make.com scenarios
  • 🔌 REST API
  • 📱 SDKs available

3 Simple Steps to AI-Powered Apps

From sign up to production in minutes, not months

1

Get Your API Key

Sign up and receive 100 free credits instantly. No credit card required.

# Get your API key instantly
X-API-Key: wln_abc123xyz...
2

Make Your First Call

Test our APIs with your favorite tool. Works with curl, Python, JS, or any HTTP client.

POST /api/youtube-chat
{
  "video_url": "youtube.com/...",
  "question": "What are the key points?"
}
3

Ship Your Feature

Integrate with your app or workflow. Sessions persist for 36 hours for follow-up questions.

{
  "answer": "The key points are...",
  "sessionId": "sess_xyz789",
  "creditsUsed": 5
}

Works with your favorite tools

Zapier

🔧

n8n

🎯

Make.com

🐍

Python

🟨

JavaScript

💎

Ruby

🦀

Rust

🔌

REST API

Traditional RAG vs WLN.ai

Why spend weeks building complex infrastructure when you can start in minutes?

Feature Traditional RAG Setup WLN.ai APIs
Setup Time Weeks of infrastructure setup 5-minute integration
Infrastructure Cost Vector database costs ($500+/mo) Pay only for API calls
Context Understanding Complex chunking loses context Full document understanding
Maintenance Constant maintenance required Zero maintenance
Content Types Limited to text documents YouTube, web, news, shopping
Session Memory Build your own session handling 36-hour sessions included
Scaling Complex scaling challenges Auto-scales globally

Traditional RAG Architecture

Document ingestion pipeline
Chunking strategy design
Embedding generation
Vector database setup
Index optimization
Retrieval pipeline
Similarity search tuning
LLM integration

Result: Months of development, ongoing maintenance, high infrastructure costs

WLN.ai Simple Flow

Send content URL or text
Ask your question
Get intelligent response
Continue conversation (optional)

Result: Ship in minutes, zero maintenance, pay for what you use

That's literally it:

response = wln.chat(
url="youtube.com/watch?v=...",
question="Summarize this video"
)

Trusted by 10,000+ Developers

See why teams choose WLN.ai over traditional RAG systems

50M+

API calls processed

$2M+

Saved in infrastructure

3 min

Average integration time

120+

Countries served

"We replaced our entire RAG pipeline with WLN.ai. What took 3 months to build now takes 3 minutes to implement."

SC

Sarah Chen

CTO at TechStartup

"The YouTube chat API alone saved us $50k in development costs. It just works out of the box."

MR

Mike Rodriguez

Lead Developer at EdTech Inc

"Finally, an API that understands context! Our support bot now handles 80% of queries automatically."

AP

Alex Park

Engineering Manager at DataCorp

Want to see how EdTech Inc reduced development time by 90%?

Read our detailed case studies to see how companies are using WLN.ai to build innovative AI features.

Read Case Studies

Start Building Smarter Today

No credit card required. 100 free credits every month.

No Setup Required

Start making API calls immediately

No Hidden Costs

Transparent credit-based pricing

No Vendor Lock-in

Standard REST APIs, export anytime

No Learning Curve

If you can call an API, you can use WLN.ai

Questions?

Chat with our docs using our own API → docs.wln.ai