Knowledge Overview

Welcome to the Knowledge section of Waterflai's documentation. This section will guide you through the process of creating, managing, and leveraging knowledge bases to enhance your AI applications.

What is Knowledge Management in Waterflai?

Knowledge management in Waterflai refers to the tools and processes that allow you to incorporate your own data and information into your AI applications. By doing so, you can create more accurate, context-aware, and specialized AI solutions.

What You'll Learn in This Section

• How to create and organize knowledge bases within Waterflai

• Techniques for importing and structuring your data

• Methods for connecting your knowledge bases to AI models

• Strategies for maintaining and updating your knowledge over time

Key Topics

• Knowledge Space: An introduction to the dedicated area for managing your knowledge bases.

• Knowledge Connectors: Learn about the tools that link your knowledge bases to your AI applications.

• Knowledge Collections: Understand how to organize and categorize your information for optimal use.

Whether you're looking to create a specialized chatbot with domain-specific knowledge or enhance your AI workflows with proprietary data, this section will show you how to harness the full power of your information within Waterflai.

Let's start by exploring the Knowledge Space and creating your first knowledge base!