Enhancing Scientific Research with AI

PaperQA is an innovative RAG agent designed to answer questions by sifting through full-text scientific articles. Surpassing existing Large Language Models (LLMs), it reduces hallucinations and leverages a question answering model that rivals expert human researchers on complex benchmarks.

• Explore the Study: Demonstrates the role of PaperQA in systematic processing of scientific literature.
• LitQA: Introduces a more complex benchmark for scientific research.
• Expert Comparison: Matches expert researchers in answering complex scientific questions.
• Information Retrieval: Ensures relevance of sources and passages.

The PaperQA RAG agent highlights the symbiosis between advanced AI models and human expertise in unfolding complex research queries. Acknowledging this synergy as pivotal could drastically accelerate scientific discovery and aid in the quest for knowledge.