RAG Dataset Quality Auditor
Pricing
from $0.50 / 1,000 document auditeds
RAG Dataset Quality Auditor
Find duplicate, stale, incomplete, repetitive, and poorly chunked documents before they weaken RAG retrieval.
RAG Dataset Quality Auditor
Pricing
from $0.50 / 1,000 document auditeds
Find duplicate, stale, incomplete, repetitive, and poorly chunked documents before they weaken RAG retrieval.
Select an existing Apify dataset. Each item should contain a text-like field such as text, markdown, content, or body.
Optional documents pasted directly. Each item may contain id, url, title, text, updatedAt, and metadata.
Maximum number of documents to read and charge for across both sources.
Documents below this threshold receive a too-short issue.
Documents above this threshold receive a too-long issue and should usually be chunked.
Documents with a valid updatedAt older than this threshold receive a stale-content issue. Set 0 to disable.
Jaccard similarity threshold for candidate documents identified by the fingerprint index.
First matching field is used as document text when reading a dataset.
[ "text", "markdown", "content", "body"]First matching field is used as the document title when reading a dataset.
[ "title", "name", "heading"]First matching field is used as the canonical source URL when reading a dataset.
[ "url", "sourceUrl", "canonicalUrl"]First matching field is used as the freshness timestamp when reading a dataset.
[ "updatedAt", "lastModified", "modifiedAt", "publishedAt"]Include a short normalized preview in each result. Leave off for sensitive corpora.
Maximum number of normalized document characters to include when previews are enabled.