LLMRAGMedical AIResearch
Neobot — Medical Research Validation Platform
A platform that helps medical students methodologically validate research criteria using LLMs, RAG, and semantic search — enabling specialists to review structured, auditable research workflows.
The Problem
Medical students and researchers lack systematic tools to validate research criteria, organize evidence, and maintain methodological rigor. Manual validation is slow, error-prone, and nearly impossible for specialists to audit at scale.
The Solution
A structured research platform combining LLMs for intelligent criterion extraction, RAG for evidence retrieval, and semantic search over curated literature — giving specialists a clear, traceable workflow to validate medical research.
Architecture
01LLM-powered extraction of research criteria from unstructured academic text
02RAG pipeline for contextual evidence retrieval across literature
03Semantic search over curated medical and scientific databases
04Structured specialist validation and annotation workflow
05Audit trail for full research methodology traceability
Results & Outcomes
Systematized research criteria validation for medical students
Specialist-auditable workflows replacing ad-hoc manual processes
Semantic search significantly reducing literature review time
Publicly deployed and accessible for demonstration