ORKG Ask
Find research you are actually looking for
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Quick Answer
AIORKG Ask is an open-source scholarly knowledge system for researchers and scholars. It enables users to search, retrieve, and reuse academic literature through its integration of Vector Search, Large Language Models, and Knowledge Graphs. Best for scholars leveraging AI to explore academic papers and organize knowledge. Freely accessible.
ORKG Ask is a scholarly search and exploration system powered by Vector Search, Large Language Models, and Knowledge Graphs. It helps users find, explore, and reuse scholarly literature. The platform is open source and freely accessible to everyone.
ORKG Ask combines vector search, large language models, and knowledge graphs to organize scholarly knowledge and make it accessible to humans and machines. It also offers features like saving searches and managing personal article collections.
Decision Intelligence
Best For
AIType
Starting Price
$0/mo
Free Trial
No
Credit Card
Not Required
Free Plan
Yes
Dimension Scores
· 5.1 avgHow good it is, across universal quality axes
Task Scores
· 6.4 avgWhat it can do, per category it works in · showing 5 of 8 tasks scoring 5+
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
- -AI-generated content may be inaccurate or misleading and requires user verification (Terms of Use)
- -Users must not enter personal data into search queries when using Smart Filters, as data may be processed by OpenAI (Terms of Use)
- -PDF documents and videos are not barrier-free
Optional Smart Filters feature uses OpenAI LLMs
Retrieves article metadata for Top Authors feature
Queries for software and datasets
Queries for software and datasets
Serves topic images directly from user's browser
Provides topic filter suggestions directly from user's browser
Auto-updated
Complexity
Company Size
Team Size
Skill Level
Deployment
The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Pricing verified from the vendor pricing page.
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User Reviews
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Who It's For2 rolesComputer and Information Research ScientistsLife, Physical, and Social Science Technicians, All Other
Platform, Content & Languages1 content types1 languagesTextEnglish+3 more
Output Languages
Content Types
Accepts
Produces
Frequently Asked Questions
What can ORKG Ask do?
ORKG Ask can: Scholarly search and exploration, Vector search powered by LLMs and Knowledge Graphs, AI-generated summaries and key insights, Filtering and exporting search results (CSV, BibTeX, citations). Best for: Scholars leveraging AI to search and explore scholarly literature.
How much does ORKG Ask cost?
ORKG Ask is open source and free to self-host. Cloud hosting options may have separate pricing.
Is ORKG Ask free?
Yes, ORKG Ask is open source and free to self-host. Managed hosting may carry separate costs.
What makes ORKG Ask unique?
ORKG Ask combines vector search, large language models, and knowledge graphs to organize scholarly knowledge and make it accessible to humans and machines. It also offers features like saving searches and managing personal article collections.
Does ORKG Ask have an API?
Yes, ORKG Ask offers a public API for developers to integrate its capabilities into custom applications and workflows.
What platforms does ORKG Ask support?
ORKG Ask is available on web.
What languages does ORKG Ask support?
ORKG Ask supports English.
Who is ORKG Ask for?
ORKG Ask is designed for Scholars leveraging AI to search and explore scholarly literature; Researchers looking to organize and reuse scholarly knowledge.
Trust Score
Good
Based on 5 data signals
Confidence: High
Reflects publicly available data, not an independent audit
Not yet checked
Some details are AI-generated estimates — verify with the vendor.
AI-generated estimate: Best For, Description, Limitations, Quick Answer, Tagline, What Makes Unique
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.