Wiki

Intelligent Knowledge Base and On-Demand Q&A Powered by RAG

Wiki

Overview

The Wiki feature enables users to create and update custom knowledge bases — for example, a product knowledge base or a disease area knowledge base — and interact with them via natural language queries. This means you can ask questions and instantly receive precise, referenced answers drawn from your curated sources.

Typical use cases:

  1. Fast internal reference tool for a specific drug, therapeutic area, or disease.
  2. Automated Q&A for healthcare professionals (HCPs) and patient support.
  3. Rapid literature review and synthesis, creating on-demand thematic overviews from a large set of documents.

How it works: RAG (Retrieval-Augmented Generation)

This function is powered by Retrieval-Augmented Generation (RAG) — a cutting-edge AI technique that combines large language models (LLMs) with real-time retrieval from your selected sources.

  • The system searches your knowledge base for the most relevant documents or sections in response to a user’s query.
  • It then generates an answer grounded in the retrieved content and always provides clickable references to the original sources.

What can you include in your knowledge base?

  • Evidence base for your drug or product (clinical studies, real-world data)
  • Treatment guidelines where your product is mentioned (e.g., ESMO, ASCO, local guidelines)
  • Encyclopedia articles (e.g., UpToDate, Medscape)
  • Official prescribing information (USPI, SmPC, EPAR, FDA/EMA documents)
  • Educational materials (FAQs, Q&As, patient brochures, internal SOPs)
  • Any other relevant documents in any language

You can upload and combine sources in different languages; the system will process and answer queries in the language you prefer.

Key Features & User Benefits

  • Always up-to-date answers: You can update your knowledge base at any time with new documents or latest guidelines.
  • Traceable and referenced: Every answer is provided with direct links or citations to the supporting documents.
  • Multilingual: Sources, questions, and answers can be in any language.
  • Flexible: Use for internal training, HCP support, scientific communication, or external customer service.
  • Automated synthesis: Quickly generate overviews, evidence summaries, or respond to ad hoc requests without manual searching.
  • Customizable structure: Tailor your Wiki for drugs, disease areas, company policies, or competitor monitoring.

Advantages of RAG for Medical Affairs & Brand Managers

  • Accuracy and trust: Answers are always based on your actual source documents, reducing hallucinations and regulatory risk.
  • Speed: Instantly answer complex scientific and medical questions — no need to manually search through multiple documents.
  • Knowledge retention: New team members, medical reps, or HCPs can self-serve reliable information anytime.
  • Consistency: Ensure that internal and external stakeholders always get the most consistent and up-to-date responses.
  • Efficiency: Dramatically reduce the time spent on repetitive queries, content searches, and evidence compilation.
  • Adaptability: Rapidly update your base to include new products, indications, or evolving evidence.

Summary

With the Wiki tool, you transform your scientific and regulatory documents into a live, AI-powered encyclopedia — accessible for on-demand, referenced Q&A by your team, HCPs, or even patients.
This enables brand managers and medical advisors to deliver faster, more accurate, and fully referenced answers for both internal and external stakeholders.