
A tailor-made search. Vertex AI Search
Better searches, better business.
In a world where speed and relevance of information make all the difference, offering a search tailored to each user’s needs is no longer a bonus – it’s a must. When you enable your customers and employees to find what they are looking for quickly and accurately, you increase satisfaction, drive conversions and strengthen your competitive advantage.
Challenges that slow down your search
Many organisations come up against three major obstacles when trying to deliver quality search:
- Fragmented and siloed data
Information scattered across different systems (databases, PDFs, websites…) prevents a unified view of your assets . - Inaccurate results
Relying on keywords alone is not enough to capture user intent, leading to superficial or irrelevant responses. - Risk of “hallucinations“
Generative AI models that are not anchored in your data tend to invent answers or become out of date with your business reality.
Overcoming these challenges is the first step to designing search experiences that actually deliver value.
Technologies that boost your results
To transform basic search into an intelligent and personalised experience, it has three technological pillars:
- Semantic Search
Thanks to Natural Language Processing, it understands the intent and context of the query, returning relevant results even if they don’t match word-for-word with the index . - Embeddings and vector search
Transforms text, images and other data into numeric vectors to capture deep relationships. A chatbot “understands” a login problem even if the article talks about “reset password”. - Retrieval Enhanced Generation (RAG)
Before generating a response, this approach retrieves the most relevant snippets from your database, reducing inaccuracies and “hallucinations” by basing each response on business facts.
Adaptation to the sector: tailor-made solutions
Every industry has its nuances. That’s why advanced platforms offer specialised metrics and models that elevate search according to your vertical:
- Retail: optimised recommendations with Google Shopping indicators.
- Media: filtering and navigation in complex content libraries.
- Healthcare: clinical terminology and HIPAA compliance.
With these tools, you get highly accurate results tailored to the unique challenges of your industry.
Benefits you will notice from day 1
There are tangible benefits to implementing personalised search:
- Smoother and more satisfyinguser experience.
- Increased conversions through more relevant results.
- Internal productivity: employees locate critical information in seconds.
- Success stories: After deploying Google Cloud RAG, Discover Financial reduced its agents’ search time by 70% and improved click-through rate and time-on-page.
How to start today?
- Map your data
Identify silos and formats: databases, CMS, PDFs, etc. - Select the right technology
Choose from semantics, vectors, RAG or a combination according to your needs. - Focused pilot
Deploy a test in a limited area (intranet, customer support) to measure improvements in response time and satisfaction. - Iterate and scale
Adjust the system based on feedback and extend the solution to other systems (CRM, ERP, content repositories). - Measures impact
Monitors key metrics: conversion rate, average search time and Net Promoter Score.
The partner becomes a strategic ally
Having a specialised partner turns the implementation of advanced search into an agile and successful project. It provides not only semantic technologies, embeddings and RAG, but also advice on conversion, cost optimisation and security.
Are your searches personalised enough?
Download the latest Google Cloud report on Google Cloud Vertex AI Search, which takes steps to deliver modern AI-powered search support. With the right partner, every query doesn’t just answer: it drives your business.
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