Overview: Knowledge Bases

Lesson Overview

This video provides an introduction to the Data section in AirOps, focusing on the two main asset types: Brand Kits and Knowledge Bases. It explains how these assets can be used to provide high-quality, unique inputs to large language models, ensuring consistent and tailored content outputs.

• 0:00: Introduction to large language models and the importance of high-quality inputs
• 0:21: Overview of the two asset types in the Data section: Brand Kits and Knowledge Bases
• 1:18: Detailed explanation of Knowledge Bases and their capabilities
• 1:45: Demonstration of uploading a file to a Knowledge Base and making it searchable

Key Concepts

Brand Kits

Brand Kits are a flexible and reusable way to inform the language model about your brand's identity, target audience, tone of voice, and specific rules or perspectives you want to be reflected in all content outputs. By codifying these rules in the Brand Kit, you ensure that any changes or preferences are consistently applied across all your workflows and outputs.

Knowledge Bases

Knowledge Bases allow you to add various types of content and fetch them at runtime in your workflows. You can:

• Upload files
• Scrape websites
• Import data from Google Drive
• Connect to a SQL database

Once added to a Knowledge Base, the content becomes semantically searchable, meaning you can search based on meaning rather than exact keyword matches. This allows for more relevant and related results to be retrieved.

Semantic Search

Semantic search enables you to find entries with the closest semantic meaning to your search phrase, rather than relying on exact keyword matches. This is achieved by processing each row in the uploaded content and making it searchable based on meaning. Semantic search enhances the relevance and flexibility of the retrieved results.

Key Takeaways

1. The Data section in AirOps consists of two main asset types: Brand Kits and Knowledge Bases, which provide high-quality, unique inputs to large language models.
2. Brand Kits allow you to codify your brand's identity, tone of voice, and specific rules or perspectives, ensuring consistency across all content outputs.
3. Knowledge Bases enable you to add various types of content, such as uploaded files, scraped websites, Google Drive data, or SQL databases, and make them semantically searchable.
4. Semantic search in Knowledge Bases allows for retrieval of results based on meaning rather than exact keyword matches, enhancing the relevance and flexibility of the retrieved content.
5. Incorporating Brand Kits and Knowledge Bases into your workflows ensures consistent, tailored, and high-quality content outputs from the language model.