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This week's news as cited context for LLMs

Fresh information your model does not know yet: Google News and web results from the past week, read in full and condensed into cited passages, with a freshness check (age of the sources and wording such as 'postponed' or 'replaced by').

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Research Agent – Evidence-Graded Web Search for RAG
Research Agent – Evidence-Graded Web Search for RAGperceptr0n/research-agent
query
status
contextTokens
durationSeconds
+1 field
Text
Number
Boolean
List
Object

Input

Question:What is the latest news on EU artificial intelligence regulation?
Sources:news+1
Freshness:week

Output fields

query
status
contextTokens
durationSeconds
context

How it works

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The Research Agent – Evidence-Graded Web Search for RAG Actor is ready to run with the inputs already set for "This week's news as cited context for LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "This week's news as cited context for LLMs" task

The Research Agent – Evidence-Graded Web Search for RAG Actor will start running based on the input automatically. You can also change all the input fields, like question, sources, and more, to match your specific use case.

Receive the "This week's news as cited context for LLMs" 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, status, contexttokens, 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 "This week's news as cited context for LLMs" task via API.

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