Enables LLMs and AI agents to query a biomedical knowledge graph stored in RedisGraph, with tools for concept search, synonym enrichment, and study variable discovery through semantic relationships.
Provides AI agents with instant access to 10M+ OMOP medical vocabulary concepts for searching, mapping, and navigating clinical codes across SNOMED, ICD-10, RxNorm, LOINC, and more.
Enables semantic search and exploration of a business glossary knowledge graph, allowing users to query terms, expand related concepts, trace dependencies, and resolve physical table mappings.
Enables AI-powered medical information retrieval through FHIR clinical document search and GraphRAG-based exploration of medical entities and relationships. Combines vector search with knowledge graph queries for comprehensive healthcare data analysis.
Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.
Enables clinical workflows including search and summarization of synthetic FHIR patient records, PubMed literature search, and HIPAA Safe Harbor de-identification of text, via any MCP client.