Comparison page
OKF vs RAG
RAG retrieves chunks from a large corpus at query time. Open Knowledge Format (OKF) is a curated, stable knowledge layer that agents load into context directly.
Open Knowledge Format (OKF)
Curated, pre-compiled knowledge agents load directly: concepts, runbooks, metrics, and API references.
- Markdown plus YAML frontmatter
- Concept-level files
- Useful for catalogs and agent retrieval
RAG
Searching large, changing, unstructured corpora where pre-curating every answer is impractical.
- Keep the original format for its core job
- Add OKF when knowledge needs metadata
- Use both when they solve different retrieval problems
Recommendation
Use OKF for stable, high-value knowledge you can curate, and RAG for broad recall over large corpora. Many agents combine both: load OKF into context and fall back to RAG for the long tail.
More Open Knowledge Format comparisons
FAQ
When should I use OKF vs RAG?
Use OKF for stable, high-value knowledge you can curate, and RAG for broad recall over large corpora. Many agents combine both: load OKF into context and fall back to RAG for the long tail.
Is Open Knowledge Format (OKF) a replacement?
Usually no. OKF is most useful as a complement that makes knowledge easier for agents and catalogs to consume.
What is the lowest-friction starting point?
Start with one template, validate it, and publish it next to the documentation users already search for.