Presentation Sheet: QUICKSEARCH Plugin

AI-Optimized Search & Answers in QUICKBRAIN

The QUICKSEARCH Plugin is an intelligent search engine powered by generative AI, designed to answer user questions in natural language—especially for maintenance and operations technicians.

It provides fast access to essential technical information needed for daily work.

Main features

  • Accurate and contextualized answers on:
    • Equipment operation
    • Failure root-cause analysis
    • Technical and historical equipment data
    • Maintenance operations and spare parts
  • Based on the QuickBrain knowledge base : enriched technical documentation and data collected by users.
  • Systematic source display : each answer shows the documents and pages used to ensure traceability and verification.
Logo de QUICKBRAIN : Module SVI, suivi des arrêts techniques ou travaux

Features of the QUICKSEARCH Module:
AI-optimized search and answers within QUICKBRAIN

Architecture & Technology

  • RAG Method (Retrieval-Augmented Generation): optimizes response speed (under 5 seconds) and enhances the relevance of LLM-generated answers.
  • Fully integrated into QuickBrain: available in SaaS mode (via IBM’s Watsonx.ai) or On-Premise.
  • Agnostic and adaptable: compatible with various LLMs and vector databases through API integration.
  • Data security: data ownership guaranteed by IBM; information is used strictly for inference purposes.

Key Strengths

  • Optimized for industrial maintenance
  • Reliable, traceable, and enriched answers
  • Adaptable to the client’s infrastructure
  • Collaboration with IBM AI experts for optimal quality

Differences from a standard conversational agent

Description
QUICKSEARCH
Standard Chatbot
Answer evaluation for continuous improvement
Yes
No
Response time under 5 seconds
Yes
Variable
Advanced contextualization (functional codes, technical data)
Yes
Limited
Prompt optimization
Yes
No
Use of multiple LLMs
Yes
Rare
Use of document metadata
Yes
Rare
Direct links to documents, pages, plans, and interactive schematics
Yes
Rare