Enterprise GenAI Search & Chat (RAG) Consulting and Implementation in Asia Pacific 

“An estimated 80% of enterprise data remains untapped in the unstructured realm of human interactions and conversations”

- Forbes 

BioQuest Advisory designs and implements enterprise Generative AI search and chat solutions based on Retrieval Augmented Generation (RAG). We help organisations across industries unlock unstructured data across PDFs, Word documents, emails, intranet sites, websites and SharePoint, and make it safely searchable for employees and customers. 

Our GenAI Search & Chat services 

• Use case and value discovery
  We work with you to identify high impact GenAI search and chat use cases for employees, customers and partners, and to quantify the potential value in terms of time saved, risk reduced and better decisions.
  
  

• Architecture and platform selection
  We evaluate RAG architectures, GenAI platforms, vector databases and cloud options that fit your existing data, security and compliance requirements, and help you select the right combination.
  
  

• Data connection and governance
  We connect to your content, ingest metadata and design access controls so that GenAI answers remain accurate, consistent and compliant with your internal policies and regulatory expectations.
  
  

• Training and capability building
  We provide practical training for business users, product owners and technical teams, including prompt engineering techniques, good practices for asking questions, creating reusable prompt templates, and guidelines for safe and effective use of GenAI search and chat in daily work.
  
  

• Pilot, rollout and adoption
  We run pilots, measure impact and refine the solution, then plan and execute rollout to production. This includes enabling internal champions, user training, change management and ongoing support so that GenAI search and chat become part of normal business workflows.

FAQ about GenAI Search & Chat 

Question 1:  How is GenAI search different from keyword search?

Answer: GenAI search uses RAG to understand the meaning of your questions and retrieve relevant passages from multiple sources, then generates a concise, cited answer. Traditional keyword search only matches words in documents and often returns long, unfiltered result lists that users still need to read and interpret.

Question 2: Is GenAI search safe for regulated industries?

Answer: Yes, when it is designed correctly. We keep your data in secure environments, respect your existing access controls and document permissions, and log interactions for audit and governance. We also design guardrails to prevent unauthorised access or inappropriate responses. We have clients from financial services successfully implement GenAI Search. 

Question 3: Do we need to replace our existing intranet, portal, chatbot or internal systems?

Answer: Not necessarily. In many cases we layer GenAI search and chat on top of your existing systems such as SharePoint, document management platforms and websites. This allows you to deliver value faster without a full replatform, while still using your current content repositories and access models.

Question 4: Do we need to clean up all our files, naming conventions and metadata before we can get accurate search results?

Answer: No. While basic hygiene always helps, you do not need to manually rename or retag all your documents. We often deploy AI-driven tagging that reads through entire documents and automatically assigns relevant tags and metadata. This approach scales to millions of documents, which would be impossible to handle with manual human tagging, and it significantly improves both search accuracy and findability over time.

We often combine GenAI Search & Chat with Agentic AI Agents and Intelligent Automation for end-to-end journeys