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Accelerating Regulatory Authority Response Process with AI-Powered Semantic Similarity Search

A leading pharmaceutical company used Graphwise’s GraphDB and its AI-powered semantic similarity search to process large volumes of regulatory questions, delivering significantly faster response times, comprehensive knowledge reuse, and improved compliance efficiency.

The Client

Leading pharmaceutical company managing large archives of regulatory authority questions with diverse formats across various document management platforms accumulated over years

The Challenge

The company needed to process large volumes of regulatory questions more efficiently and accelerate response times while leveraging their extensive archive of previously answered questions

The Solution

Using the Graphwise’s GraphDB semantic similarity search, the company created a smart processing system that automatically extracts, categorizes, and matches Q&A pairs using semantic indexing and contextual analysis

Technical capabilities

  • Automatic Q&A extraction and categorization from diverse document archives with semantic indexing
  • Contextual matching comparing new questions to previous ones even when formulated differently

Business outcomes

  • Significant time reduction cutting response time from 2 days to less than 1 hour
  • Improved accuracy and confidence with top 10 most similar matches for analyst review

The Challenge

The company had amassed a large archive of previously answered questions, but their existing solution could not handle the process efficiently. Different formats and various document management platforms made it extremely difficult to reuse knowledge. This forced analysts to spend days searching for answers even to repetitive or identical questions.

The system relied on conventional search technologies. Most documents were in unsearchable PDF format, lacking proper indexing with fragmentary, and with poor-quality metadata. Analysts had to write complicated queries attempting to match keywords between new questions and existing documents. This was a complex, iterative process requiring expert knowledge and making new employee onboarding demanding.

The Solution

Graphwise’s GraphDB ingests documents from company archives and automatically extracts and categorizes Q&A pairs. Content is semantically indexed, enabling comparison of new questions to previous ones regardless of formulation differences.

The system builds a knowledge graph representing document relationships. This enables GraphDB’s semantic text similarity search to match contextually related words even when they appear in different texts. The solution returns the top 10 most similar Q&A pairs, allowing analysts to review it, modify it if necessary, and respond quickly with proven answers.

The Impact

The semantic similarity search solution transformed regulatory response capabilities. It provided comprehensive knowledge access to the full collection of Q&As, making it easier to identify similar questions and find relevant answers. It also enhanced knowledge reuse by letting analysts copy and paste answers from previous questions.

However, the most significant improvement was response time. What previously took 2 days now requires less than 1 hour. This reduction improved regulatory compliance efficiency while maintaining accuracy and analyst confidence in the results.

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Facing Similar Challenges?

Struggling with slow regulatory response times and difficulty accessing institutional knowledge across complex document archives?

Whether you're a pharma company, regulated industry, or knowledge-intensive organization, Graphwise can help you:

  • Transform unsearchable document archives into semantically indexed, queryable knowledge bases   
  • Enable instant access to historical Q&A pairs through contextual similarity matching   
  • Significantly reduce response times while maintaining accuracy and compliance standards   
  • Streamline knowledge transfer and onboarding with intuitive semantic search capabilities

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