Features - Paperguide Documentation

AI-Powered Research Assistant

Paperguide's research assistant uses advanced machine learning to help you discover, analyze, and synthesize academic literature.

Smart Search

Find relevant papers using natural language queries and AI-powered recommendations.

Content Analysis

Extract key insights, methods, and findings from research papers automatically.

Literature Mapping

Visualize connections between papers and identify research gaps.

Natural Language Queries

Ask questions like "What are the latest developments in quantum computing?" and get relevant results.

Semantic Matching

AI understands context and intent, not just keywords.

Cross-Disciplinary Discovery

Find connections across different research fields.

from paperguide import ResearchAssistant

assistant = ResearchAssistant(api_key="your_key")
results = assistant.search(
query="machine learning in medical diagnosis",
max_results=50,
include_abstracts=True
)

for paper in results:
print(f"{paper.title} - {paper.authors}")

const { ResearchAssistant } = require('paperguide');

const assistant = new ResearchAssistant('your_key');
const results = await assistant.search({
query: 'machine learning in medical diagnosis',
maxResults: 50,
includeAbstracts: true
});

results.forEach(paper => {
console.log(`${paper.title} - ${paper.authors.join(', ')}`);
});

Reference Management

Organize and cite your research materials with intelligent reference management tools.

Import References

Upload papers and automatically extract citation information.

Organize Collections

Create folders and tags to categorize your research materials.

Generate Citations

Auto-generate citations in APA, MLA, Chicago, and other formats.

Track Usage

See which papers you've cited and how often you reference them.

Use the reference manager to maintain consistency in your citations across multiple papers.

Writing Assistant

Get AI-powered help with drafting, editing, and structuring your research papers.

from paperguide import WritingAssistant

assistant = WritingAssistant()
text = "This is a sample sentence with some errors."
corrected = assistant.correct_grammar(text)
print(corrected)  # "This is a sample sentence with some errors."

from paperguide import WritingAssistant

assistant = WritingAssistant()

# Get style suggestions
text = "The researchers found that the new method works better."
suggestions = assistant.suggest_style(text, style="academic")
print(suggestions)
# ["Consider using more precise terminology", "Add citation for the method"]

Integration Features

Connect Paperguide with your favorite research tools and platforms.

Direct integration with PubMed, IEEE Xplore, JSTOR, and other databases.

Advanced Analytics

Gain deeper insights into your research with advanced analytics and visualization tools.

Advanced analytics help identify trends, research gaps, and emerging topics in your field.

Customization Options

Tailor Paperguide to your specific research needs and preferences.

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Last updated 3 days ago