
TechRxiv
A preprint server for health sciences.

Accelerate scientific discovery with high-fidelity RAG-powered literature synthesis and verifiable citation mapping.

Epsilon is a specialized AI-native search engine designed for the 2026 academic and industrial R&D landscape. Unlike generalized LLMs that often hallucinate citations, Epsilon utilizes a sophisticated Retrieval-Augmented Generation (RAG) architecture anchored to a proprietary index of over 200 million peer-reviewed papers, preprints, and technical reports. Its core engine performs semantic vector searches rather than simple keyword matching, allowing researchers to uncover nuanced connections across disparate scientific disciplines. By 2026, Epsilon has positioned itself as the 'Perplexity for Science,' integrating real-time impact factor filtering and citation graph analysis to ensure data integrity. The platform's technical stack includes custom fine-tuned embedding models optimized for STEM terminology and a multi-agent orchestration layer that cross-references claims across multiple sources before generating a synthesized response. This reduces the time required for comprehensive literature reviews from weeks to minutes, providing researchers with a competitive edge in high-stakes fields like biotechnology, materials science, and quantum computing.
Epsilon is a specialized AI-native search engine designed for the 2026 academic and industrial R&D landscape.
Explore all tools that specialize in search scientific literature. This domain focus ensures Epsilon delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze research data. This domain focus ensures Epsilon delivers optimized results for this specific requirement.
Explore all tools that specialize in knowledge graph creation. This domain focus ensures Epsilon delivers optimized results for this specific requirement.
Visualizes the citation network between papers to identify foundational studies and emerging trends.
NLP modules that flag conflicting results or methodologies across different studies on the same topic.
RAG-driven extraction of specific data points from tables and text within PDFs.
Adjusts search relevance based on a proprietary score combining citation count and journal impact factor.
Real-time translation of non-English research papers into English while maintaining technical terminology accuracy.
Allows users to upload their own private PDF libraries to be queried alongside public databases.
Uses LLMs to aggregate data points from several selected papers into a structured comparison table.
Create an account using institutional or corporate email for domain-specific indexing.
Configure research preferences including preferred databases (PubMed, arXiv, etc.).
Connect external reference managers like Zotero or Mendeley for library synchronization.
Enter a complex natural language research query into the semantic search bar.
Apply filters for publication date range, h-index, and peer-review status.
Select 'Synthesize' to generate a structured overview of the current state of research.
Verify specific claims by clicking inline citations to view the source PDF snippet.
Save relevant papers to a workspace project for collaborative team analysis.
Export the bibliography in a chosen format (APA, MLA, BibTeX).
Set up automated alerts for new publications matching the saved search criteria.
All Set
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Verified feedback from other users.
"Highly praised for its citation accuracy and user interface, though users note that specialized technical databases (like legal) are still expanding."
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A preprint server for health sciences.

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