docimprint

Why verifiable document memory beats RAG alone

What problem does RAG leave unsolved?

RAG answers 'what text is similar to this query?' It cannot prove the retrieved passage matches an authoritative document at capture time. In compliance, legal, and finance workflows, similarity is not enough — you need cryptographic proof of provenance.

How does DocImprint complement RAG pipelines?

Capture documents with POST /v1/extract to produce evidence bundles, verify them offline, then feed verified chunks into your vector store. Agents cite bundle IDs and Merkle proofs instead of unverifiable embedding matches.

Which should autonomous agents use by default?

Use DocImprint when decisions require auditable citations — contracts, filings, invoices, policies. Use RAG for exploratory search over already-verified corpora. High-stakes agents should capture proof first, then retrieve.

Comparison at a glance

CapabilityTypical RAGDocImprint
Semantic searchYesVia Collections
Tamper-evident captureNoYes (evidence bundles)
Offline verificationNoFree verify endpoint
Chain-of-custodyNoLegal hold + notarize