Google Cloud's Open Knowledge Format Offers Structured Alternative to RAG for AI Agents
Google Cloud engineers Sam McVeety and Amir Hormati published the Open Knowledge Format (OKF) on June 12, 2026, as a structured way for AI agents to access curated knowledge. OKF organizes information as a directory of markdown files, where each file represents a single concept such as a metric, table, or policy, and files link to one another forming a navigable knowledge graph. The format was inspired by a pattern described by Andrej Karpathy in April 2026, which proposed that agents maintain and update a living wiki rather than repeatedly retrieving raw documents via vector search. Unlike retrieval-augmented generation, which chunks documents and risks severing important contextual links, OKF preserves relationships between related concepts by design. The format is tool-agnostic and requires no vector database, working with any system that can read plain files, including Google Cloud's Knowledge Catalog, GitHub, or standard file directories.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)
Log in to join the discussion and vote.
Log in