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vector_engine

Search medical documents using OpenAI Vector Stores scoped by device IDs.

Updated Feb 9, 2026
Search Tags:#knowledge base#vector search#openai#510k#medical documents#ifu
One-click install
npx skills add https://github.com/dstiefe/medsyncai_agentic_backend --skill vector-engine
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vector_engine
Source: https://github.com/dstiefe/medsyncai_agentic_backend/tree/main/medsync_ai_v2/engines/vector_engine
Command: npx skills add https://github.com/dstiefe/medsyncai_agentic_backend --skill vector-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill efficiently searches through large collections of medical documents (like IFUs and 510(k)s) to find specific information relevant to a user's query, especially when device-specific details are involved.

Core Features & Use Cases

  • Targeted Document Search: Utilizes OpenAI Vector Stores to perform semantic searches on medical documents.
  • Device-Specific Filtering: Scopes searches using device IDs extracted from input, ensuring highly relevant results.
  • Use Case: A clinician needs to know the contraindications for a specific medical device. They can ask, "What are the contraindications for the Solitaire?" and the engine will search the relevant IFUs for that device.

Quick Start

Use the vector engine skill to find information about the AXS Catalyst 5.

Frequently Asked Questions about vector_engine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search medical documents for specific device information?▼

You can search medical documents by using OpenAI Vector Stores to perform semantic searches, scoping queries with device IDs to retrieve specific documentation like IFUs and 510(k)s.

Can I filter medical document searches using a specific device ID?▼

Yes, medical document searches can be filtered using device IDs extracted from your input, ensuring the query only retrieves highly relevant documentation and knowledge base articles for that specific device.

What types of medical documents does the vector search engine support?▼

The vector search engine supports semantic searches across large collections of medical documents, specifically targeting Instructions for Use (IFUs) and 510(k) submissions to find relevant device information.

What kind of device information can I retrieve from IFUs and 510(k)s?▼

You can retrieve various device-specific details from IFUs and 510(k)s, supporting query types such as manufacturer lookup, device definition, indications, contraindications, and safety outcomes.

Do I need OpenAI Vector Stores to perform semantic searches on medical documents?▼

Yes, the search mechanism relies on OpenAI Vector Stores to perform the semantic searches required to efficiently find specific information within large collections of medical documents.

How does the vector engine handle queries for a device's contraindications?▼

The vector engine scopes the semantic search using the device name or ID to find relevant Instructions for Use, retrieving the exact sections detailing the contraindications for that specific medical device.

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