Creating Your First Knowledge Base
This tutorial demonstrates how to create a knowledge base in Yatabase. You'll learn how to:
- Upload multiple documents to build your knowledge base
- Monitor the AI processing pipeline as it analyzes your content
- Chat with your documents using AI to extract insights
- Ask questions and get answers from your document library
- Integrate knowledge bases with surveys and interviews for context
Knowledge bases transform your document libraries into conversational AI assistants that can answer questions, provide insights, and enhance your research across the Yatabase platform.
Key Knowledge Base Features
📄 Document Upload
Support for PDFs, Word documents, text files, and web content. Bulk upload multiple files at once for efficient knowledge base building.
🤖 AI Processing
Advanced AI automatically processes, indexes, and analyzes your documents, making them instantly conversational and ready for AI chat.
💬 AI Chat
Have conversations with your documents using AI chat, asking questions and getting contextual answers drawn directly from your content.
🔗 Research Integration
Connect knowledge bases to surveys and interviews to provide AI with relevant context for generating smarter questions and deeper insights.
Common Knowledge Base Use Cases
Research Context
Connect knowledge bases to surveys and interviews to provide AI with relevant context, generating smarter questions and more insightful analysis.
Document Analysis
Upload reports, articles, or research papers and chat with AI to extract key themes, summarize findings, and get instant answers about your content.
Team Knowledge
Build organizational knowledge repositories where team members can chat with AI to quickly get answers about policies, procedures, and best practices.
Customer Support
Chat with support documentation to instantly find answers to customer questions, enabling faster response times and better support quality.