Customer Story

Know more about how a leading enterprise used Retrieval-Augmented Generation and Google Cloud Vertex AI to build a secure, scalable chatbot that automated internal policy queries and improved operational efficiency.


Background

Our client's HR and IT teams were overwhelmed with repetitive policy queries, slowing down operations. With Retrieval-Augmented Generation (RAG) implementation powered chatbot on GCP, they were looking to set up knowledge base automation that could help cut response times and empowered employees with instant, accurate answers—freeing up teams to focus on strategic initiatives.



Platform Used

  • Google Cloud Platform (GCP)

  • Google Cloud Vertex AI 

  • BigQuery

  • LangChain

  • Looker

  • Cloud Functions

  • Cloud Storage



Challenge

The organization was struggling to efficiently answer internal policy and compliance queries across multiple departments. Their employees relied on HR or IT for basic policy clarifications, which lead to delayed decisions, overwhelmed support teams, and inconsistent access to up-to-date information. Hence, they were looking for an RAG solution for their enterprise chatbot development, which could enable them to automate accurate and contextual responses based on their internal policies. 



Solution

After thoroughly understanding client's compliance support challenges and requirements, our team was able to come up with appropriate strategy and solutions for knowledge base automation. Here's a detailed approach of our RAG solution for chatbot: 

  • Advanced RAG Model Implementation: Developed a RAG for chatbot by integrating retrieval from company policy documents and generation through LLMs to ensure accurate and contextual responses.
  • Data Integration: Collected and structured internal knowledge base data from multiple sources, including HR policies, IT guidelines, compliance documents, and FAQs.
  • Data Processing & Indexing: Utilized BigQuery and Cloud Storage for data storage, combined with vector embeddings for fast information retrieval.
  • Chatbot Development: Built an interactive Vertex AI chatbot using LangChain, enabling employees to ask policy-related questions in natural language.
  • Data Visualization & Monitoring: Integrated Looker for analytics, providing insights into chatbot usage, employee engagement, and common queries.
  • Security & Access Control: Implemented role-based access controls to ensure confidential data is accessible only to authorized personnel.


Result

The implementation of our custom Retrieval-Augmented Generation solution, offered significant benefits for the enterprise chatbot. Here’s a glimpse into the results they achieved:

  1.  Employee Experience Optimization: Instant, accurate responses to employee queries, reducing HR and IT workload.
  2. Enhanced Self Service: Ensured employees could quickly and easily access to updated company policies without relying on any other team, improving compliance.
  3. AI-powered knowledge management: Insights from chatbot interactions helped refine policies and improve knowledge base quality.
  4. Scalable & Secure AI infrastructure: GCP’s infrastructure enabled seamless scalability and ensured enterprise data security.
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About Cymetrix Software

Cymetrix is a global CRM, Data Analytics, AI & ML consulting company. We have been empowering businesses globally with offices in San Francisco & Long Beach (USA), Mumbai (India), Gurgaon (India), Delhi-NCR (India), Tokyo (Japan), Warsaw (Poland), and Reading (UK) with a 500+ workforce, 115+ Salesforce certified consultants and AI/ML Developers.

 

 

Cymetrix - AI & ML Consulting Company