Elicit

Elicit is a sophisticated AI research engine designed to automate the systematic review process for scientists and researchers. Unlike general-purpose LLMs, Elicit utilizes a Retrieval-Augmented Generation (RAG) architecture specialized for a corpus of over 200 million academic papers sourced primarily from Semantic Scholar. Its technical core involves decomposing complex research queries into sub-tasks, performing semantic vector searches to retrieve high-relevance snippets, and then utilizing fine-tuned models to synthesize findings with direct citations. By 2026, Elicit has established itself as the industry standard for 'verifiable AI,' moving beyond simple chat interfaces to provide structured data extraction where users can define custom columns (e.g., sample size, methodology, p-values) which the AI populates by reading across hundreds of PDFs simultaneously. The platform's commitment to transparency is reflected in its provenance tracking, showing exactly which sentence in a paper justifies a generated summary, thereby mitigating the hallucination risks inherent in standard generative models.