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Audit Website to RAG Dataset output

Check Website to RAG Dataset chunks for duplicates, overlap, sequence gaps, and missing provenance before embedding or indexing them.

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RAG Dataset Linter
RAG Dataset Lintersebastian-actors/rag-dataset-linter
Gate
Action
Source type
Source ID
+9 fields
Text
Number
Boolean
List
Object

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

How it works

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The RAG Dataset Linter Actor is ready to run with the inputs already set for "Audit Website to RAG Dataset output". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Audit Website to RAG Dataset output" task

The RAG Dataset Linter Actor will start running based on the input automatically. You can also change all the input fields, like field mapping overrides, minimum tokens, and more, to match your specific use case.

Receive the "Audit Website to RAG Dataset output" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as gate, action, source type, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Audit Website to RAG Dataset output" task via API.

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