OpenScholar
Best for scientific research
Open-source model
Retrieval-augmented AI
Academic-focused
Free to use
Synthesize scientific literature with an open, retrieval-augmented language model
Assistant
Research
OPEN_SOURCE
ADVANCED Complexity
HYBRID
Last updated: May 16, 2026
openscilm.allen.ai
Quick Answer
OpenScholar is a fully open, retrieval-augmented language model from Ai2 and the University of Washington, designed to synthesize scientific literature. It can answer scientific questions, summarize papers, and find prior work by leveraging 108M+ abstracts and 12M+ full-text papers. Best for researchers and academics. Free and open source.
Decision Intelligence
Best For
Synthesizing scientific literature for researchers
Answering scientific questions for academics
Summarizing research papers for students
Exploring algorithms for computer scientists
Not Ideal For
General knowledge queries outside of scientific domains
Users without technical skills to deploy models locally
Real-time conversational AI for non-research tasks
Generating creative content or marketing copy
Fit Score
Complexity
ADVANCED
Company Size
SOLO
SMALL
MEDIUM
ENTERPRISE
Team Size
INDIVIDUAL