Generative AI-powered search will become the fastest and most efficient way of surfacing information from within large bodies of expert knowledge such as websites, communities, and intranets. Read on to discover the benefits of GenAI search and how to get started.

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Search and surface your hidden expertise

New AI tools mean the challenge for knowledge owners is now more than content creation, it’s the curation of meaningful search experiences that  inform, educate, and solve problems. GenAI search is the answer to this challenge.

 

Suppose you want to find all references on your website about lowering carbon in Smart Cities. Conventional search will provide links to webpages about reducing carbon and/or smart cities. However, it is unlikely that references from PDFs, videos, podcasts, and other digital files will be found unless they are solely focused on that topic.

 

Large Language Models (LLMs) like GPT-4 will give you an answer drawn from publicly available online resources but without the source reference. Generic LLMs cannot see beyond paywalls or logins, meaning if the reference you need is on an intranet, forum, or behind a paywall, it won’t be included in the answer.

 

LLM enhanced with RAG (Retrieval Augmented Generation) and semantic search enables the creation of a domain-specific search function. RAG is like an extension pack for LLM, allowing it to draw information from within a specific knowledge base.

 

Using this pioneering approach, you can find specific references to lowering carbon, whether they exist in an article, presentation, discussion thread, or video. Crucially, it will show you the exact page within a PDF or timestamp in a video where it was mentioned.

 

GenAI-powered search collates knowledge from deep within archives, unlocking value from new and historical resources. Here are five ways it will be transformational for domain knowledge experts.


 

  1. Broaden your portfolio with evergreen subjects - Published knowledge generally has a shelf-life of only a few months after it has been added to your library and promoted. GenAI search extends the life of this expertise for as long as it remains relevant, creating the opportunity to broaden your content portfolio with evergreen subject hubs.
  2. Protect the integrity of your knowledge - ChatGPT is trained on publicly available knowledge and reconstituting it as the creator, meaning the original publisher risks losing control and attribution. Furthermore, the integrity of that information will erode over time as it is retrieved and then fed back into ChatGPT. If you have a public-facing knowledge hub and apply your own AI-powered search system, you take ownership with focused search that attributes the source to you and protects the integrity of that information.
  3. Save time with one answer from many sources – Conventional search returns many answers as complete documents. GenAI search gives you one answer to your question based on many references within your body of knowledge and pinpoints the exact location, resulting in time efficiencies.
  4. Discover what your community is interested in - Analyse historical and current discussions to understand what’s interesting and useful to your community. Historical search is particularly valuable to domain experts, who have decades of conversations that are still relevant today.
  5. Drive new leads – By surfacing historical content, you increase the opportunity to generate new leads without necessarily creating anything new. If knowledge exists behind a paywall, you can still show users a preview and direct them to a registration form to access the complete resource.

AI is advancing quickly, but it’s still a relatively new technology that’s not widely understood. 

 

We recommend beginning with a Feasibility Audit to determine whether it is viable for your organisation and to identify a low-barrier to-entry Beta test to gain stakeholder buy-in.

Getting started with GenAI search

AI-powered search will be suitable for most organisations with digital knowledge hubs. However, a Feasibility Audit will confirm that your knowledge can be interrogated this way and will determine the approach based on user needs and business goals.

 

Stage two is to conduct a low barrier to entry beta test to quickly validate the approach and gain stakeholder buy-in, like The Digital Twin Hub. As a place for ‘learning and sharing’ experiences, The DT Hub wanted to test whether AI search could make knowledge about digital twinning more discoverable and accessible to members.

 

On presenting their working prototype to the board, The DT Hub said: “The board got the idea and were very impressed by the potential of the project and how we're implementing it. We wanted to thank you for your help in demonstrating that - we definitely got the buy-in we were looking for from board members to proceed with that work!”

 

On completing a beta test and demonstrating how it meets business requirements, you can roll AI search out into other areas of the business where you can collect usage data and continue to fine-tune the model.


 

Early adopters of GenAI search are the future leaders of their field

Given its extensive knowledge and position as a digital twin specialist, the DT Hub is ideal for AI-powered search. If you are also one of the top knowledge providers in your field and you’re not thinking about GenAI search, you risk losing out to competitors already developing this technology.

Within two years, we believe search driven by LLM, enhanced with RAG and semantic searching, will be the default method for knowledge discovery. Organisations that master the tools and techniques to combine LLM with their unique expertise and bring it to life at their customers' fingertips will become the information leaders for their specialism.

Talk to us about how Generative AI search could give your company a competitive edge.


 

Building a LLM business case for Digital Twin Hub

The DT Hub is a community interested in or working in digital twin modelling. Their resources area available to the public but also behind a log-in. They approached us to collate their knowledge and resources via a Wiki, which would have involved many hours of manual work reading and collating resources from hundreds of documents.



We built a beta test to gain buy-in…

Early adopters of GenAI search are the future leaders 
of their field

The DT Hub is ideal for GenAI roll-out, given their extensive knowledge and position as a specialist dedicated to publishing information about digital twins. Once complete, their members will be able to interrogate years of knowledge from the world’s experts in digital twins.

“The board got the idea and were very impressed by the potential of the project and how we're implementing it.
 

 

So Justin and I wanted to thank you for your help in demonstrating that - we definitely got the buy-in we were looking for from board members to proceed with that work!”

Daniel Block

Product Manager

Digital Twin Hub

Luke Wotton

Luke Wotton

Digital Experience Director

If you’re in the top 20% of knowledge providers in your field and you’re not thinking about Generative AI search tools, you risk losing out to competitors already riding the wave. 

I recommend performing an audit on your knowledge to see if its feasible and would make something meaningful for your customers. 

You can download our cheat sheet and do it yourself, or our team can perform it for you and present the results.

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