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Accurate Document Search: Entity Extraction & Custom Mapping
Where Fast Search uses fixed labels, Accurate Search lets you define and modify entity types at runtime — mapping "Procedure" to SNOMED CT, "Allergy" to RxNorm, or any combination your workflow demands — powered by a zero-shot NER model that interprets documents more freely and adapts to your organization's specific coding needs. This video covers the full configuration workflow: setting entity-to-vocabulary mappings in the Configure Source panel, running the search, filtering results by entity label and confidence score, and downloading coded output as CSV. It also confirms that both Fast and Accurate Document Search are available via REST API for programmatic use, and closes with the JSL license requirement — showing exactly where to add and activate your license directly in the UI.
📚 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
🔍 Fast Search Docs: https://nlp.johnsnowlabs.com/docs/en/terminology_server/features/search#fast-search
🎯 Accurate Search Docs: https://nlp.johnsnowlabs.com/docs/en/terminology_server/features/search#accurate-search
🔌 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
