align-20260109, can ground its judgments in context you provide — your own
reference material and your own example evaluations. Instead of relying only on the criteria and the trace
being scored, the model draws on what you’ve uploaded, so its scores reflect your domain knowledge and the
way you would grade.
You manage this context on the Context page in the platform,
where you can upload two things: Documents and Annotations.
Documents (knowledge store)
Upload reference material that the model should know about — product documentation, policies, style guides, support macros, domain glossaries, and so on. When you run an evaluation, the model automatically pulls the most relevant parts of your documents and uses them to ground its judgment. This is ideal when correct scoring depends on facts the model can’t be expected to know — for example checking an answer against your own product behaviour, or judging whether a response follows your internal policy.- Supported file types: PDF, Word, PowerPoint, plain text, and Markdown.
- Processing: documents are processed shortly after upload; you’ll see each one move to processed on the Context page when it’s ready to use.
- Duplicates: uploading a file you’ve already added is automatically skipped.
Annotations
Upload example evaluations — your own labeled judgments showing how a particular response should be scored and why. The model uses these as guidance to better match your scoring standards on similar cases. Annotations are useful when your grading involves nuanced judgment calls that are easier to show with examples than to fully spell out in a criteria sentence. Annotations take around 24 hours to be ready after upload. You’ll be notified once they’re available, and you can track their status on the Context page.Using your context
Once your Documents and Annotations are uploaded, evaluate withalign-20260109 to put them to work. Select
the model when you create the client (or set model_core directly in an API request):
align-20260109 selected, the model automatically grounds this evaluation in the relevant parts of
your uploaded context — no extra parameters needed.
Related
- Models — full list of Align model versions
- Ground Truth Evaluation — insert a known correct answer directly into a single criteria