Empowering Your AI Agents with Company Knowledge: CloudThinker Knowledge Base Guide

What is the Knowledge Base?

The Knowledge Base feature in 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. Think of it as teaching your AI agents about your company's unique environment, tools, and processes.

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

Step 1: Navigate to the Knowledge Base Section

1. Log into your CloudThinker dashboard

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

Step 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

Step 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

Real-World Example: AWS Performance Insights Documentation

As shown in the example "aws-pi-docs" knowledge base, you can create specialized repositories of information. This particular knowledge base contains Amazon RDS Performance Insights documentation, allowing AI agents to:

• Monitor database load dimensions

• Understand performance parameters and errors

• Access AWS-specific troubleshooting guides

• Generate detailed performance analysis reports

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!