> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wazoo.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Google OKF (Open Knowledge Format)

> Worlds vs Google OKF: RDF fact ledger vs open knowledge representation format.

## At a glance

|               | Worlds                                                | Google OKF (Open Knowledge Format)                    |
| :------------ | :---------------------------------------------------- | :---------------------------------------------------- |
| Primary role  | Authoritative RDF fact ledger & SPARQL context engine | Open specification & format for structured knowledge  |
| Data model    | RDF triples/quads in an append-only graph ledger      | Entity-attribute-value & schema-neutral graph payload |
| Retrieval     | SPARQL graph queries, full-text, & vector fusion      | Schema parsing, serialization, & exchange format      |
| Core strength | Deterministic multi-hop SPARQL graph verification     | Standardized schema payload interchange & format      |
| Deployment    | Edge-ready adapters (LibSQL, Postgres) or Cloud       | Specification / interchange format                    |

## Overlap and shared capabilities

Both Worlds and Google OKF (Open Knowledge Format) aim to break structured
knowledge out of proprietary silos into open, interoperable formats that AI
models and software systems can parse deterministically.

The difference is structural and functional:

* Google OKF is an open knowledge specification and data format designed to
  standardize structured entity payload interchange.
* Worlds is a complete context engine and runtime platform. It stores assertions
  in W3C RDF quads, enforces SHACL constraints, and executes multi-hop SPARQL
  queries fused with vector similarity search.

OKF defines a standardized payload layout for structured entity exchange,
whereas Worlds is a context storage engine and SPARQL query platform.

## When Worlds fits

* You need an active context engine and SPARQL query server to store, index, and
  query dynamic facts.
* You require append-only quad ledgers with built-in provenance tracking and
  hybrid search.
* You want edge-deployable database adapters (LibSQL, Turso, Postgres) for live
  agent fleets.

## When Google OKF fits

* You need a schema-neutral serialization format for transmitting knowledge
  graph payloads between enterprise systems.
* You are defining open knowledge exchange specifications across external APIs.
* You are standardizing entity-attribute payload exports.

## Coexistence and integration

Google OKF payload schemas can be parsed and mapped directly into Worlds as RDF
quads. Worlds serves as the queryable execution context and SPARQL engine for
knowledge structured in open formats like OKF.
