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Collect deeper sources for RAG research

Search related documentation questions and collect up to ten ranked pages per query as Markdown and plain text. Replace the sample questions. Repeated URLs are fetched once while every query and rank stays visible.

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Batch RAG Web Search - 100 Queries to Markdown
Batch RAG Web Search - 100 Queries to Markdownautoma-flow/batch-rag-web-search
Query
Query index
Rank
Status
+6 fields
Text
Number
Boolean
List
Object

Input

Search queries(required):site:docs.apify.com Actor input schema+1
Results per query:10
Page output formats:markdown+1
Fetch duplicate URLs once:true

Output fields

Query
Query index
Rank
Status
Search result
Fetch
Markdown
Text
Source URL
Observed

How it works

Sign up on Apify or log in

The Batch RAG Web Search - 100 Queries to Markdown Actor is ready to run with the inputs already set for "Collect deeper sources for RAG research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect deeper sources for RAG research" task

The Batch RAG Web Search - 100 Queries to Markdown Actor will start running based on the input automatically. You can also change all the input fields, like search queries, results per query, and more, to match your specific use case.

Receive the "Collect deeper sources for RAG research" 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 query, query index, rank, 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 "Collect deeper sources for RAG research" task via API.

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