Skip to main content

Original Documentation

Traditional docs with basic search limitations.

These docs represent standard documentation without AI enhancement - basic keyword matching with limited discoverability and poor search relevance.

The Challenge: Basic Search Limitations

Standard documentation relies on simple keyword matching and basic metadata, leading to frustrating user experiences:

  • ⚠️ Exact word matching only
  • ⚠️ No semantic understanding
  • ⚠️ Limited synonym detection
  • ⚠️ Poor relevance ranking

📄 Minimal Metadata

  • ❌ Basic title and description only
  • ❌ No topic categorization
  • ❌ Missing content relationships
  • ❌ Poor content discoverability

🔧 No Content Optimization

  • ❌ Unstructured content chunks
  • ❌ No retrieval optimization
  • ❌ Missing context preservation
  • ❌ Poor AI readiness (RAG score: 20-40)

📚 Limited Research

  • ⚠️ No external source validation
  • ⚠️ Missing best practices
  • ⚠️ Outdated information
  • ⚠️ Incomplete coverage

The Business Impact

Standard documentation creates friction that hurts your business metrics and user satisfaction.

35/100Average RAG Score
60%Users Can't Find Info
3xHigher Support Tickets
40%User Drop-off Rate

Experience the limitations of traditional documentation search. Notice how it struggles with anything beyond exact keyword matches.

📄 Basic

Basic Search

Loading docs...
📋 Basic Search: Direct keyword matching in document metadata and content.
🔍 Try Basic Searches:

Notice: Try searching for "auth timeout" or "credential lockout" - basic search often fails to find relevant content when users don't use exact keywords.

Common Search Problems

🔍 Keyword Dependency

Users must know exact terms. Searching "login issues" won't find "authentication problems."

📊 Poor Relevance

Results ranked by simple word frequency, not actual usefulness or context.

🔄 No Synonyms

"Setup" won't find "configuration." "Error" won't find "issue" or "problem."

📈 High Support Load

When users can't find answers, they create support tickets instead.

😤 User Frustration

Poor search experience leads to abandoned documentation and reduced product adoption.


The Solution: AI Enhancement

Ready for better search? Check out our demo!