Academic Filter Guide

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Overview

The academic filter—sometimes referred to as “academic mode” or “Focus: Academic”—is a feature in Perplexity that allows users to target their searches specifically to academic and scholarly sources. This is especially useful for students, researchers, and professionals who require peer-reviewed papers, journal articles, and research-focused answers rather than general web content.

When you activate the academic filter by setting search_mode: "academic", Perplexity prioritizes results from scholarly databases, journals, and reputable academic publications, filtering out non-academic or general web sources. This ensures that the answers you receive are grounded in research and scholarly consensus.

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Key Features and Functionality

• Source Filtering: Prioritizes scholarly databases, academic journals, and research publications
• Research Focus: Returns results based on peer-reviewed research rather than general web content
• Enhanced Precision: Provides more technical and discipline-specific information for academic queries
• Compatibility: Works with other search parameters like search_context_size to further refine results

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Usage Examples

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Basic Academic Search

This example shows how to perform a basic search using the academic filter.

curl --request POST \
  --url https://api.perplexity.ai/chat/completions \
  --header 'accept: application/json' \
  --header 'authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json' \
  --data '{
    "model": "sonar-pro",
    "messages": [{"role": "user", "content": "What is the scientific name of the lions mane mushroom?"}],
    "stream": false,
    "search_mode": "academic",
    "web_search_options": {"search_context_size": "low"}
}'

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Combining Academic Mode with Other Parameters

You can combine the academic filter with other parameters for more refined searches:

curl --request POST \
  --url https://api.perplexity.ai/chat/completions \
  --header 'accept: application/json' \
  --header 'authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json' \
  --data '{
    "model": "sonar-deep-research",
    "messages": [{"role": "user", "content": "What are the latest findings on neural networks for image recognition?"}],
    "stream": false,
    "search_mode": "academic",
    "search_after_date_filter": "1/1/2023",
    "web_search_options": {"search_context_size": "high"}
}'

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Recommended Use Cases

The academic filter is particularly valuable for:

1. Research Literature Reviews: When you need to gather scholarly information on a specific topic
2. Technical and Scientific Queries: For questions requiring scientifically accurate, peer-reviewed answers
3. Academic Writing Assistance: When working on papers, theses, or dissertations that require scholarly sources
4. Educational Support: For students and educators requiring academically rigorous information

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Best Practices

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Optimizing Academic Searches

• Be Specific: Formulate clear, focused questions to receive more precise academic responses
• Use Technical Terminology: Include field-specific terms to better target relevant academic literature
• Combine with Date Filters: For the most recent research, combine with search_after_date_filter
• Adjust Context Size: Use higher search_context_size values for more comprehensive academic responses

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Performance Considerations

• Academic searches may sometimes take slightly longer due to the specialized nature of scholarly databases
• Consider using models like sonar-deep-research for particularly complex academic inquiries
• For more comprehensive literature reviews, set stream: false to receive complete responses

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Limitations

• Availability of academic sources varies by field and topic
• Very recent research (published within the last few months) may not always be included
• Some paywalled or subscription-only academic content may not be fully accessible

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