## How Teams Use Yavy

Yavy helps teams stop AI hallucinations and get real answers from real content, whether it's developer documentation or customer support. Here's how teams are using semantic search, MCP servers, and portable Skills packages.

### Popular Use Cases

Detailed guides for the most common applications

[**Developer Documentation**  
Index framework docs, API references, and technical guides. Your AI coding assistant gets accurate answers from real documentation instead of hallucinating outdated patterns.

Common examples:  
- Framework documentation  
- API references  
- Technical guides  
- SDK documentation

[Learn More](/content/use-cases/developer-docs/index.html)

[**Knowledge Base**  
Turn your help center into an AI-searchable knowledge base. Customers and support agents get instant, accurate answers. Support ticket volume decreases.

Common examples:  
- Help centers  
- FAQ pages  
- Support articles  
- Product guides

[Learn More](/content/use-cases/knowledge-base/index.html)

### More Applications

Yavy works for any content you want AI to search accurately

#### Internal Documentation

Index company wikis, onboarding guides, and internal processes. New hires get instant answers without bothering colleagues.

#### Educational Content

Index course materials, tutorials, and learning resources. Students get AI-assisted study help grounded in your curriculum.

#### Legal & Compliance

Index policies, procedures, and compliance documentation. Get accurate answers about regulations and requirements.

#### Research & Academia

Index research papers, literature reviews, and academic resources. AI assistants can cite your actual sources.

### Who Uses Yavy?

Teams and individuals turning their content into AI knowledge

#### Developer Teams

Engineering teams index their stack documentation (React, Node, AWS, etc.) so AI coding assistants give accurate, up-to-date answers.

#### SaaS Companies

Product companies index their documentation so customers can get instant, accurate support through AI assistants.

#### Open Source Projects

Maintainers index their documentation so contributors can get quick answers without waiting for responses.

### The Problem with AI Today

AI assistants are powerful, but they have a big limitation: they can only work with their training data. When you ask about specific frameworks, APIs, or your own documentation, they often make things up - confident-sounding answers that are completely wrong.

This is especially problematic for developers, support teams, and anyone who needs accurate, current information. You end up fact-checking everything the AI says, which defeats the purpose of using AI in the first place.

### How Yavy Solves It

Yavy turns your documentation into an AI-searchable knowledge base. When your AI assistant needs information, it queries Yavy's MCP server and gets real answers from your actual content - with sources.

- **Semantic search** finds relevant content by meaning, not keywords
- **Source attribution** so you can verify and learn more
- **Real-time sync** keeps content current automatically

### Get started with Yavy

Index your first documentation project and make your AI assistant more accurate in minutes.

[Get Started](/content/register/index.html)