Find What Matters
An AI agent that understands your research intent. It autonomously orchestrates keyword, semantic, and hypothetical document search across 2.9M+ arXiv papers—then reranks and surfaces the foundational work that matters most.
Intent Detection
Understands if you're searching for a paper, exploring a topic, or asking a conceptual question
Autonomous Routing
Dynamically selects and combines search strategies based on your query
HyDE Search
Generates hypothetical answers to find papers that explain concepts
Transparent Reasoning
Watch the agent think, search, and refine results in real-time
Attention Is All You Need
Vaswani et al. · 2017
BERT: Pre-training of Deep Bidirectional Transformers
Devlin et al. · 2018
An Image is Worth 16x16 Words: Transformers for Image Recognition
Dosovitskiy et al. · 2020
What are the key innovations in the transformer architecture?
Ask Anything
Have a natural conversation with research literature. Our RAG system retrieves and synthesizes insights from thousands of papers, providing cited answers to your research questions.
Streaming Responses
Real-time AI answers that stream as they're generated
Source Citations
Every claim backed by referenced paper chunks
Configurable Retrieval
Tune search parameters for your specific needs
Conversation Memory
Context-aware follow-up questions and refinements
See the Big Picture
Navigate the interconnected web of research topics, papers, and entities. Discover unexpected connections, emerging trends, and the structure of scientific knowledge.
Interactive Graph
Explore papers and topics through a force-directed visualization
Topic Hierarchy
Navigate through multi-level topic structures
Citation Networks
Visualize paper citations and references
AI Copilot
Context-aware assistant for graph exploration
Ready to TransformYour Research?
Join researchers exploring millions of papers through AI-powered semantic search, natural conversation, and interactive knowledge graphs.