The Infrastructure for Decentralized, AI-Native Science

ReScience makes research computable and orchestrates agentic reasoning over it, leading DeScAI in reshaping scientific discovery.

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112B+

Embedding Dimensions

220M+

Publications & Artifacts

14+

Datasets & Journals

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Core Components Overview

Agents visual representation

Agents

Dynamically orchestrated multi-agent system for scientific reasoning, synthesis, and knowledge validation.

Datalake visual representation

Datalake

Schema-flexible repository of raw and structured scientific data, powering agentic analysis.

Atlas visual representation

Atlas

Frontend for exploring, drafting, and publishing scientific work with persistent decentralized IDs.

HyperRAG visual representation

HyperRAG

Advanced RAG combining vector databases, knowledge graphs, and ontologies for grounded scientific reasoning.

Technological Highlights

Vector Databases

Efficient storage and retrieval of high-dimensional data embeddings, facilitating semantic search and similarity matching.

Knowledge Graphs

Structured representation of entities and their relationships, enabling logical reasoning and contextual understanding.

ReScienceMeta

A comprehensive schema standardizing scientific data for interoperability and enhanced AI comprehension.

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Institutional Credibility

Positioned as a flagship protocol in the DeScAI ecosystem, ReScience embodies the convergence of scientific rigor and advanced AI

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Interactive Demonstration

Experience ReScience in action through our interactive demo, showcasing real-time data retrieval and analysis.