Use case
You're building AI workflows. Your agents need structured knowledge, not a retrieval guess.
Vector stores retrieve. They don't compile structure. When your agent needs to understand a domain — not just retrieve from it — structure matters. SILKLEARN compiles your sources into a deterministic context bank: dependencies mapped, gaps named, every claim source-anchored. Contradictions preserved, never averaged away.
Why this workflow fits
This is where the cost of invisible structure shows up first.
Expected outcomes
The value shows up when teams stop relearning the same system by trial and error.
Outcome 01
A deterministic context bank your agent can traverse without retrieval guesswork
Outcome 02
Every claim traced to its source — no hallucinated foundations
Outcome 03
Update your sources, re-synthesize, push a fresh context bundle to your workflow
The workflow
From scattered sources to a context bank your agents can reason across.
1. Upload the sources your agents depend on
PDFs, Markdown, DOCX, plain text — internal docs, runbooks, decision records, vendor material. No reformatting, no restructuring before you start.
2. The engine compiles the structure
Sources become a graph of claim-bearing segments: dependencies mapped, gaps named, every claim traced to its source span. When sources disagree, the contradiction is preserved and branched — never averaged into a false consensus.
3. Review, approve, and arrange
The compiled structure is a draft you review, not a black box you trust. Approve the claims that are true, leave the rest unserved. Arrange what matters into a canvas — the curated context your agents will actually draw from.
4. Keep the context current
Re-ingest a changed source and the workspace archives the old version instead of destroying it — you can see what changed and re-approve. MCP integration is in progress; until it ships, the compiled structure is the stable, auditable reference your workflow builds against.
Related paths
Move from this workflow into the feature or guide that supports it.
Next step