Knowledge
Vector-backed knowledge bases that workflows and agents query for retrieval-augmented context.
Knowledge bases are collections of documents that Bifrost embeds and indexes for semantic search. Workflows and agents can query a knowledge base to pull relevant snippets into a prompt or decision step.
Documents are grouped into namespaces — named buckets like support-playbooks or product-docs that an agent or workflow targets when it searches. A query against one namespace never bleeds into another, so you can keep unrelated corpora isolated.
Each document also carries a scope. A global document is visible to every organization; an org-scoped document is visible only to that organization (and overrides a global document with the same key). This mirrors the cascade Bifrost uses everywhere else: org-specific content layers on top of shared defaults without duplicating it.
You manage knowledge through the platform UI and the SDK. Sources can be uploaded files, scraped pages, or programmatic ingestion from a workflow.