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Extract Biomedical Entities for a RAG Corpus

Mine genes, diseases, chemicals and organisms from biomedical full text into a clean, compact structured dataset for RAG and agent retrieval.

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Europe PMC — Biomedical Knowledge Graph & Literature Mining
Europe PMC — Biomedical Knowledge Graph & Literature Miningryanclinton/europe-pmc-search
Status
Access
Paper Title
Year
+6 fields
Text
Number
Boolean
List
Object

Input

Search Query(required):Alzheimers disease
Mine biological entities (full-text):true
Output Profile:compact

Output fields

Status
Access
Paper Title
Year
Citations
Accessions
Entities
Journal
DOI
Europe PMC Link

How it works

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The Europe PMC — Biomedical Knowledge Graph & Literature Mining Actor is ready to run with the inputs already set for "Extract Biomedical Entities for a RAG Corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract Biomedical Entities for a RAG Corpus" task

The Europe PMC — Biomedical Knowledge Graph & Literature Mining Actor will start running based on the input automatically. You can also change all the input fields, like search query, mine biological entities (full-text), and more, to match your specific use case.

Receive the "Extract Biomedical Entities for a RAG Corpus" 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 status, access, paper title, 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 "Extract Biomedical Entities for a RAG Corpus" task via API.

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