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Systems for managing sensitive research data using isolated and encrypted storage to prevent provider access.
Distinct from AI Security Research: Focuses on privacy-preserving storage of research data, not security vulnerability research
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Local Deep Research is an autonomous research system consisting of an LLM research agent, a local model orchestrator, and a multi-engine search aggregator. It is designed to execute deep research by decomposing complex questions into atomic facts and synthesizing cited reports from academic, technical, and private document sources. The system features an encrypted research workspace that ensures zero-knowledge privacy through isolated, per-user encrypted databases. It utilizes a local RAG knowledge base to index research sources into searchable vector stores, allowing for retrieval-augmented
Ensures zero-knowledge privacy for sensitive research information through isolated encrypted databases.