Audit Website to RAG Dataset output
Created by
Sebastián S
Actor
RAG Dataset Linter
Check Website to RAG Dataset chunks for duplicates, overlap, sequence gaps, and missing provenance before embedding or indexing them.
RAG Dataset Lintersebastian-actors/rag-dataset-linter
Gate
Action
Source type
Source ID
+9 fieldsTextNumberBooleanListObject
Input
Field mapping overrides
Text field:chunkText
Chunk ID field:chunkId
Document ID field:documentId
Source URL field:url
Title field:title
Heading path field:headingPath
Chunk index field:chunkIndex
Minimum tokens:10
Maximum tokens:2000
Near-duplicate similarity:0.95
Maximum adjacent overlap ratio:0.35
Inline records
chunkId:docs-0+2
documentId:https://example.com/docs+2
url:https://example.com/docs+2
chunkIndex:0+2
title:Product documentation+2
headingPath
chunkText:Install the client, configure the API key, and verify connectivity before indexing the website documentation.+2
Output fields
Gate
Action
Source type
Source ID
Audited
Findings
Errors
Warnings
Exact duplicate rate
Near duplicate rate
Estimated wasted tokens
Truncated
Finished
Sign up on Apify01
Create your Apify account to access the RAG Dataset Linter.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
