Topic overview
All articles on enterprise search
Every amber article on search inside the company, sorted by the question you want answered.
This page lists every amber article on search inside the company. The articles are grouped by the question you are working on: how the technology works, which solution fits your company, what a rollout takes and what it returns, how to improve search in SharePoint, Confluence, Outlook and network drives, and how other companies went about it. Each card links straight to the article. If you are new to the topic, start with the intro article.
Start here: What is enterprise search? A simple explanation · Product: the enterprise search amberSearch
On this page: Basics · Choosing a solution · Rollout and business case · SharePoint, Confluence, Outlook · In practice
Basics: how search inside a company works
What makes internal search different from Google and which technologies are behind it.
Start here
What is enterprise search? A simple explanation
The place to start: what enterprise search is, how it works and when it pays off.
What is generative multi-hop Q&A?
How multi-hop Q&A combines information from several sources into better answers.
What is a generative AI search?
How intelligent search and generative AI come together, with use cases and notes on data protection.
Keyword, federated or intelligent: search technologies compared
How keyword search, federated search and intelligent search work and where each one hits its limits.
Why Google finds everything and your enterprise search does not
Why web search works so well and why that does not simply carry over to search inside a company.
Smart search: how internal search benefits from AI
What a smart search is, how it works with generative AI and what a rollout involves.
Learning from the internet: how AI simplifies corporate search
A short look at what internal search can learn from web search engines.
New enterprise search engines: putting unstructured data to work
How natural language processing makes knowledge in unstructured data accessible.
Comparing and choosing a solution
What to look for when you choose a solution and why search matters for AI projects too.
Enterprise search solutions: the comprehensive guide for 2026
The detailed guide to how modern search solutions work, plus security, ROI and selection criteria.
Why enterprise search is the foundation for AI systems
Why AI assistants and AI agents deliver little without access to internal knowledge.
Choosing an enterprise search: what to look for
Which criteria count when you choose a solution, from AI integration to user adoption.
Enterprise search software: making internal knowledge accessible
How enterprise search software is built, when it pays off and how it differs from an intranet.
Rollout, business case and use cases
What a rollout takes in time and resources and how to calculate the value up front.
How to implement enterprise search
The technical steps it takes to implement enterprise search in your company.
Digital transformation in R&D departments with AI
How R&D teams break down data silos and reuse the knowledge they already have.
Calculating a business case for enterprise search
Which soft and hard factors belong in the business case and how to build one for your company.
What resources does an enterprise search rollout require?
What to plan for in hardware, software, staff and budget.
Best practices for user onboarding with enterprise search
Patterns from customer projects that help your team actually use the new search.
ROI calculator: estimate the business impact of AI
Enter a few numbers and see how much time and money amber can save your team.
Two frameworks to capture time spent on research
Use a survey and a key user workshop to find out how much time searching for information costs.
12 enterprise search use cases from everyday work
Twelve situations in which an internal search engine saves your team time.
Six tips to improve search efficiency in your company
Practical tips that help your team find information faster and more accurately.
Tips for SharePoint, Confluence, Outlook and network drives
Practical help for search in the systems your team uses every day.
Optimize Outlook search with AI: find your emails faster
Search operators, common mistakes and how an AI search helps in Outlook.
Search Jira and Confluence with amberSearch
Where the built-in search in Jira and Confluence falls short and how amberSearch searches both together.
Search network drives efficiently: optimizing drive search
Why searching network drives is so tedious and how tips and an AI search improve it.
Optimize SharePoint search: how to improve it
Tips for SharePoint search and how to add an AI search to SharePoint.
Optimize Confluence search: find things faster
Why search struggles in Confluence systems that grew over the years and which tips and AI features help.
Information without switching apps: amberSearch in Microsoft Teams
How the Teams app gives your team access to company knowledge right inside Microsoft Teams.
Better information retrieval with the amberSearch Teams app
A short overview: searching company knowledge in Microsoft Teams without switching systems.
In practice
How companies in construction, mining, machinery and energy use search.
RAG AG: unlocking 150 years of expert knowledge with amberSearch
How RAG makes knowledge from 150 years of coal mining findable for its employees.
Customer stories and industry solutions: how companies use amber in their daily work.
Krämmel Group: innovation through intelligent search
How the construction company Krämmel finds the right information faster with amberSearch.
Data harmonization after mergers: case study ENTECCOgroup
How the ENTECCOgroup brings together scattered knowledge after several mergers.
Siemens Energy: Digital Info Management Challenge 2020
At RuhrSummit 2020, amber won the Digital Info Management Challenge by Siemens Energy.
More topics
The other topic overviews, the blog and our customer projects.
How companies capture, share and find their knowledge, from the guide to software and AI.
What AI agents and AI assistants can do, how to roll them out and which alternatives to Microsoft Copilot exist.
Data protection, the AI Act and strategy, plus help with the rollout and with comparing vendors.
Interfaces like MCP, RAG and context for enterprise AI, plus the basics of generative AI.
All articles by date, with search and a category filter.