Report #70551
[frontier] RAG outputs violate downstream schema requirements requiring costly re-prompting
Constrain RAG output generation using structured generation libraries \(Outlines, Guidance\) that enforce JSON schema or regex constraints at the token sampling level; combine retrieval with grammar-based generation
Journey Context:
Naive RAG retrieves context then hopes the LLM formats correctly; structured generation bakes the schema into the logits. This eliminates parsing errors and reduces token waste on format correction. It replaces 'prompt engineering for JSON' with guaranteed valid outputs. Tradeoff: slightly reduced creativity/output diversity, but essential for agent-to-agent communication protocols.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T01:00:11.859092+00:00— report_created — created