John Snow Labs 91d ago

See the full search interface in action — filtering results by vocabulary (LOINC, SNOMED CT, ICD-10CM), toggling between exact match, semantic, and combined search modes, and browsing the concept hierarchy tree that surfaces parent-child relationships like Diabetes Mellitus → Type 1 Diabetes → Type 2 Diabetes. The combined default mode returns exact matches first, followed by semantically similar concepts, giving you both precision and recall in a single query. This is the core search workflow most users will rely on daily. 📖 Search: https://nlp.johnsnowlabs.com/docs/en/terminology_server/features/search 📚 Documentation: https://nlp.johnsnowlabs.com/docs/en/terminology_server/term_server Install on AWS: https://aws.amazon.com/marketplace/pp/prodview-3hta3hebivvrk on Azure: https://marketplace.microsoft.com/en-us/product/johnsnowlabsinc1646051154808.medical_terminology_server?tab=Overview 🔌 MCP Server (Agent Integration): https://nlp.johnsnowlabs.com/docs/en/terminology_server/features/mcp_server#mcp-server---agent-conn 📓 Code Sample Notebook: https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/products/term_server/terminology_mcp_strands_demo.ipynb