An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
OKF Tool
About OKF Tool
OKF Tool provides a web interface for working with Google’s Open Knowledge Format (OKF). Users can upload bundles in ZIP, Markdown or JSON format, which are parsed into structured concepts with frontmatter metadata. The tool visualizes these concepts as an interactive knowledge graph where nodes represent concepts and edges reflect Markdown links between them. A retrieval-augmented generation (RAG) chat interface allows natural-language queries answered exclusively from the uploaded bundle, with each response citing the source concepts. The platform supports importing existing knowledge bases from Notion, Obsidian, Logseq or Confluence via ZIP export, automatically converting folder structures and internal links into valid OKF frontmatter. Encrypted uploads and processing are offered for privacy. The tool targets developers, research teams and anyone seeking a portable, machine-readable knowledge base that models can interpret without guessing.
Key features
- Create and structure OKF bundles from uploaded files
- Parse concepts and frontmatter automatically
- Visualize knowledge as an interactive graph
- Query knowledge base in natural language
- Answer questions with cited sources
- Import ZIP exports from Notion, Obsidian, Logseq or Confluence
- Encrypt uploads and processing
- Support for OKF v0.2 standard
Use cases
- Portable knowledge base for AI agents
- Research documentation and collaboration
- Knowledge graph visualization for structured data
Pros
- Supports multiple input formats including ZIP, Markdown and JSON
- Converts existing knowledge bases from Notion, Obsidian, Logseq or Confluence
- Interactive knowledge graph visualization with node linking
- RAG chat using Google Gemini 2.5 Flash with source citations
- Encrypted uploads and processing available
Cons
- Limited to three OKF uploads per month on the free tier
- Requires Google login for access
- No offline or desktop application
Frequently asked questions about OKF Tool
What is the Open Knowledge Format (OKF)?
The Open Knowledge Format is an open standard by Google designed to create machine-readable knowledge bases that can be interpreted by both humans and AI agents. It uses structured concepts with frontmatter metadata and supports Markdown links to represent relationships between ideas.
Who is OKF Tool designed for?
OKF Tool targets developers, research teams, and individuals who need a portable, structured knowledge base that models can interpret without ambiguity. It suits users who work with tools like Notion, Obsidian, or Logseq and want to standardize their knowledge representation.
How does the RAG chat feature work in OKF Tool?
The RAG chat interface allows users to ask natural-language questions about their uploaded OKF bundle. The tool uses Google's Gemini 2.5 Flash model to generate answers exclusively from the bundle's content, with each response citing the source concepts.
Can I import my existing knowledge base into OKF Tool?
Yes, OKF Tool supports importing existing knowledge bases from Notion, Obsidian, Logseq, or Confluence via ZIP export. The tool automatically converts folder structures and internal links into valid OKF frontmatter, eliminating the need for manual Markdown work.
Does OKF Tool offer privacy features for uploaded data?
Yes, OKF Tool provides encrypted uploads and processing for privacy-sensitive data. Users can opt for secure handling of their knowledge bundles during both upload and analysis.
What file formats does OKF Tool support for uploading?
OKF Tool supports uploading bundles in ZIP, Markdown (.md), or JSON formats. These formats are parsed into structured concepts with frontmatter metadata for further processing and visualization.