RAG quality

RAG Source Audit Before Ingestion

A sample workflow for teams that need to filter public pages before adding them to a RAG or agent memory pipeline.

Verdictingest selectively
Confidence0.76
Bundlebuilder
AudienceTeams building RAG pipelines, agent memory, and customer-facing answer systems.

Question

Which public URLs are substantive enough to feed into an agent knowledge base?

The report identifies which URLs carry useful evidence, which are mostly boilerplate, and what claims should be excluded.

RAGknowledge basesource filteringcitations

Claim map

What an AxonGate report makes inspectable

c1

Public source pages should be scored before ingestion, not only parsed.

c2

Weak pages can be retained as context while being blocked from high-confidence citations.

c3

Source hashes and citation IDs make later report reviews repeatable.

Risks

Limits are part of the value

Embed

Use this sample as a public trust badge

<a href="https://api.axongate.one/proof-pack/share/rag-source-audit-before-ingestion" rel="noopener">Evidence checked by AxonGate</a>