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Google's OKF - The New Way to Structure Your Knowledge for Agents
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Google's OKF - The New Way to Structure Your Knowledge for Agents

Introduction to Open Knowledge Format (OKF)

Overview of OKF

  • Google has introduced the Open Knowledge Format, a new layer for the internet that structures knowledge in markdown files for better understanding by agents.
  • This standardized approach allows agents to access public OKFs without needing specific software, enhancing accessibility and usability across platforms like Notion or Obsidian.

Implications for SEO and Business Accessibility

  • The focus shifts from traditional SEO to making business knowledge accessible and actionable for agents, suggesting a potential redefinition of search optimization strategies.
  • Understanding OKF will likely become a valuable skill, leading to new services akin to creating detailed site maps but focused on knowledge graphs.

Commercial Potential of OKF

Selling Knowledge Bundles

  • Businesses with proprietary knowledge can potentially sell their OKF bundles, allowing others to integrate expert insights into their own systems.
  • This could lead to purchasing specialized bundles from professionals like lawyers or accountants, expanding the market for curated knowledge.

Getting Started with OKF

Resources and Implementation

  • Viewers are encouraged to explore Google's documentation on OKF and use tools like Gemini to summarize how it can be applied in their businesses. A suggested prompt is asking Gemini for 20 ideas on using OKF effectively.

Understanding Markdown in OKF

Basics of Markdown

  • The core structure of an OKF is based on markdown files, which provide a simple way to format text with headings and emphasis that both humans and agents can understand easily.
  • Instead of converting entire web pages into markdown, businesses should extract key concepts into individual markdown files for clarity and organization.

Key Features of the Open Knowledge Format

Characteristics of OKF

  • The format is designed as an open standard that facilitates human-friendly representation of knowledge while being agent-accessible; it includes metadata and context around data systems.
  • It emphasizes minimalism without requiring complex schema definitions, making it easier for users unfamiliar with technical specifications like YAML front matter.

Structuring Knowledge Bundles

Organization within Bundles

  • An OKF consists of directories containing multiple markdown files representing distinct concepts; this structured approach enhances clarity compared to traditional webpage summaries. Each file serves as a single unit of knowledge within a bundle.

YAML Front Matter Explained

Essential Components

  • Each markdown file must include required information such as type, title, description, tags, and timestamps in its YAML front matter section before additional content follows in the body section. This setup aids agents in processing the information efficiently.

Building a Knowledge Graph

Linking Concepts

  • As users create these bundles, they also develop a comprehensive knowledge graph that connects various pieces of information through links and citations within each markdown file's body content. This interconnectedness enhances overall understanding and retrieval capabilities by agents.

Examples & Practical Applications

Structure Example

  • An index file is mandatory within each bundle directory; log files can track updates made by agents over time—this feature supports ongoing maintenance and relevance of the stored knowledge base.

Utilizing BigQuery Data

Application Insights

  • Google suggests using the OKF framework alongside BigQuery data from GA4; however, practical applications may vary depending on user needs beyond just data extraction.

Karpathy’s LLM Wiki Model

Enhancing Language Models

  • Andrej Karpathy's LLM Wiki model proposes maintaining an evolving wiki where language models not only retrieve but also integrate new information into existing frameworks—this dynamic process enriches user interaction with AI-driven tools.

Future Directions

Evolving Schema Practices

  • The introduction of OKFs represents a natural evolution away from rigid schema requirements towards more intuitive methods for organizing digital knowledge—this shift could redefine how businesses manage their informational assets moving forward.
Video description

Google just announced the Open Knowledge Format (OKF), a new way to structure your knowledge for AI agents. This standard uses simple Markdown to make business and personal insights accessible to the agentic web. In this video, I break down why this changes SEO, how to build your first OKF bundle, and the potential for selling expert knowledge directly to AI systems. Google's blog post on okf: https://cloud.google.com/blog/products/data-analytics/how-the-open-knowledge-format-can-improve-data-sharing/ The Spec.md file for OKF on Github: https://github.com/GoogleCloudPlatform/knowledge-catalog/blob/main/okf/SPEC.md Andrej Karpathy's LLM-Wiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f Join me in my community at the Search Bar: https://community.mariehaynes.com https://mariehaynes.com/join - for more on the paid areas. 0:00 - Introduction to Google's Open Knowledge Format (OKF) 1:03 - How OKF changes SEO and makes businesses accessible to AI agents 1:43 - Selling proprietary knowledge and OKF bundles 2:21 - How to use NotebookLM and Gemini to learn the new standard 3:02 - What is OKF? (Markdown files and the LLM Wiki pattern) 4:01 - Breaking down the OKF spec (Human and agent-friendly format) 5:03 - Terminology: Creating "Knowledge Bundles" and directories 5:51 - Structuring concepts as single Markdown files 6:30 - Understanding YAML front matter (Type, title, descriptions, tags) 7:18 - Formatting the body, citations, and cross-linking 7:40 - Organizing files: Index files, log files, and using Git/Obsidian 9:11 - Practical examples: BigQuery data vs. triggered Playbooks 11:12 - Andre Karpathy’s LLM Wiki pattern explained 13:48 - Letting the LLM write and maintain your knowledge wiki 14:34 - Why OKF is the "new schema" and future revenue streams 17:15 - How agents discover your OKF (llms.txt) and "Semantic Unbaking"