CloudThinker Knowledge Base Guide

CloudThinker allows you to feed your AI agents with your organization's private information, enabling them to provide more contextual, accurate, and company-specific assistance.

Why Use Knowledge Base?

Imagine asking an AI agent to "help troubleshoot our database performance issues" - without context, you'll get generic advice. But with your AWS documentation uploaded to Knowledge Base, the agent can reference your specific infrastructure and recommend tailored solutions!

Getting Started: Creating Your First Knowledge Base

1

Navigate to the Knowledge Base Section

1. Log into your CloudThinker dashboard

2. Click on "Knowledge Base" in the left sidebar under Resources

2

Create a New Knowledge Base

1. Click the "+ Create Knowledge Base" button in the top right corner

2. Fill in the details in the modal that appears:

   • Title: Give your knowledge base a descriptive name (e.g., "AWS Documentation")

   • Description: Briefly explain what information this knowledge base contains

   • Access Level: Choose who can access this knowledge base

     • Private: Only you and specifically designated team members

     • Shared: Available to everyone in your organization

   • Usage Mode:

     • Manual: Only referenced when explicitly requested

     • Agent Requested: Used when the agent determines it's relevant

     • Always: Automatically included in all conversations

   • Tags: Add keywords to help categorize and find your knowledge base later

3

Add Your Documents

Once your knowledge base is created, you have several options to populate it:

1. Upload Files: Click "Upload Files" to add documents directly from your computer

   • Supports various file formats including PDFs, Word documents, markdown files, and more

   • CloudThinker will automatically process and index these documents

2. Add From Website: Click "Add From Website" to import documentation from external websites

   • Simply enter the URL, and CloudThinker will extract and index the relevant information

Best Practices for Effective Knowledge Bases

1. Organize by Topic: Create separate knowledge bases for different subjects (e.g., AWS documentation, internal policies, product specifications)

2. Use Descriptive Titles: Name your knowledge bases clearly so team members can easily identify their contents

3. Update Regularly: Keep your knowledge bases current by periodically reviewing and updating the documents

4. Set Appropriate Access Levels: Ensure sensitive information is only available to authorized personnel

5. Use Tags Effectively: Add relevant tags to make searching and filtering easier

With CloudThinker's Knowledge Base feature, you're not just working with generic AI - you're creating AI assistants with deep understanding of your specific environment, making them truly valuable members of your team!