User Guide
Learn how to get the most out of the RAG, Memory, MCP Servers, Artifacts, and API features in Chat LLM.
RAG Guide
Learn how Retrieval Augmented Generation enhances the AI's responses by using additional information from your knowledge base.
MCP Servers Guide
Discover how MCP servers extend your AI with specialized tools and knowledge sources like Context7 for technical documentation and development best practices.
Memory Guide
Discover how the Memory feature allows the AI to remember information about you across conversations for more personalized interactions.
Artifacts Guide
Learn how to create, execute, and share interactive code artifacts with support for React, Vue.js, Python, and more in our powerful code execution environment.
API Guide
Explore how to integrate with and extend Chat LLM's capabilities through our comprehensive API documentation and developer tools.
Context7 Guide
Learn how to leverage Context7 to provide the AI with up-to-date documentation from any public library, improving accuracy.
Getting Started
Chat LLM offers advanced AI features to enhance your experience. Here's what you need to know:
What are RAG, Memory, and MCP Servers?
- RAG (Retrieval Augmented Generation): Enhances AI responses by incorporating knowledge from your documents
- Memory: Enables the AI to remember important information about you across multiple conversations
- MCP Servers: Specialized tools that extend your AI with external knowledge sources and capabilities (like Context7 for technical documentation)
When to Use Each Feature
- Use RAG when you need the AI to reference specific documents or knowledge bases
- Use Memory when you want the AI to remember personal preferences or details across conversations
- Use MCP Servers when you need specialized tools or knowledge sources (like Context7 for development questions with best practices)
Combining All Features
For the best experience, you can use all features together:
Example: Complete Technical Support Experience
- Memory knows you prefer detailed technical explanations
- RAG finds relevant technical documentation about your specific issue
- MCP Servers (like Context7) add current best practices and production-ready patterns
- Result: You receive a personalized, comprehensive solution with best practices, tailored to your specific problem
Click on each guide above to learn more about how to set up and use these powerful features.