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Hecate

imported

data/hecate

Semantic search engine for OHDSI vocabulary

Machine-generated from the listed sources and not yet reviewed by a human.

Hecate project image
GitHub preview card for OHDSI/Hecate. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
OHDSI
Country
unknown
Homepage
hecate.pantheon-hds.com
Repository
github.com/OHDSI/Hecate
Documentation
unknown
Tags
athena · omop · search · vector-search · vocabulary
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • iris-fhir-agentsvector-search

    🥈 2nd Prize Winner (Expert Nomination) — Multi-agent clinical AI platform for InterSystems IRIS with FHIR R4, Vector Search RAG, LangChain, live FHIR agents, and a no-code Agent Builder.

  • USearchMoleculesvector-search

    Large Multi-Modal Chem-Informatics dataset of 7B+ molecules with fingerprints and 3D conformers for drug discovery

  • FhirQuerysearch

    Research into a possible language for querying FHIR servers

  • omophub-pythonathena

    Python SDK for OMOP/OHDSI vocabularies - query 10M+ medical concepts across SNOMED, ICD-10, RxNorm, LOINC & 90+ terminologies via simple API

  • eosinvector-search

    Open infrastructure for whole-slide imaging — distributed tile serving, real-time AI, and modern annotation tooling.

sources
  1. api.github.com/repos/OHDSI/Hecate
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-24, 20 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/13.json→ .entries["hecate"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.