Search by Algolia
Haystack EU 2023: Learnings and reflections from our team
ai

Haystack EU 2023: Learnings and reflections from our team

If you have built search experiences, you know creating a great search experience is a never ending process: the data ...

Paul-Louis Nech

Senior ML Engineer

What is k-means clustering? An introduction
product

What is k-means clustering? An introduction

Just as with a school kid who’s left unsupervised when their teacher steps outside to deal with a distraction ...

Catherine Dee

Search and Discovery writer

Feature Spotlight: Synonyms
product

Feature Spotlight: Synonyms

Back in May 2014, we added support for synonyms inside Algolia. We took our time to really nail the details ...

Jaden Baptista

Technical Writer

Feature Spotlight: Query Rules
product

Feature Spotlight: Query Rules

You’re running an ecommerce site for an electronics retailer, and you’re seeing in your analytics that users keep ...

Jaden Baptista

Technical Writer

An introduction to transformer models in neural networks and machine learning
ai

An introduction to transformer models in neural networks and machine learning

What do OpenAI and DeepMind have in common? Give up? These innovative organizations both utilize technology known as transformer models ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

What’s the secret of online merchandise management? Giving store merchandisers the right tools
e-commerce

What’s the secret of online merchandise management? Giving store merchandisers the right tools

As a successful in-store boutique manager in 1994, you might have had your merchandisers adorn your street-facing storefront ...

Catherine Dee

Search and Discovery writer

New features and capabilities in Algolia InstantSearch
engineering

New features and capabilities in Algolia InstantSearch

At Algolia, our business is more than search and discovery, it’s the continuous improvement of site search. If you ...

Haroen Viaene

JavaScript Library Developer

Feature Spotlight: Analytics
product

Feature Spotlight: Analytics

Analytics brings math and data into the otherwise very subjective world of ecommerce. It helps companies quantify how well their ...

Jaden Baptista

Technical Writer

What is clustering?
ai

What is clustering?

Amid all the momentous developments in the generative AI data space, are you a data scientist struggling to make sense ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

What is a vector database?
product

What is a vector database?

Fashion ideas for guest aunt informal summer wedding Funny movie to get my bored high-schoolers off their addictive gaming ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

Unlock the power of image-based recommendation with Algolia’s LookingSimilar
engineering

Unlock the power of image-based recommendation with Algolia’s LookingSimilar

Imagine you're visiting an online art gallery and a specific painting catches your eye. You'd like to find ...

Raed Chammam

Senior Software Engineer

Empowering Change: Algolia's Global Giving Days Impact Report
algolia

Empowering Change: Algolia's Global Giving Days Impact Report

At Algolia, our commitment to making a positive impact extends far beyond the digital landscape. We believe in the power ...

Amy Ciba

Senior Manager, People Success

Retail personalization: Give your ecommerce customers the tailored shopping experiences they expect and deserve
e-commerce

Retail personalization: Give your ecommerce customers the tailored shopping experiences they expect and deserve

In today’s post-pandemic-yet-still-super-competitive retail landscape, gaining, keeping, and converting ecommerce customers is no easy ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

Algolia x eTail | A busy few days in Boston
algolia

Algolia x eTail | A busy few days in Boston

There are few atmospheres as unique as that of a conference exhibit hall: the air always filled with an indescribable ...

Marissa Wharton

Marketing Content Manager

What are vectors and how do they apply to machine learning?
ai

What are vectors and how do they apply to machine learning?

To consider the question of what vectors are, it helps to be a mathematician, or at least someone who’s ...

Catherine Dee

Search and Discovery writer

Why imports are important in JS
engineering

Why imports are important in JS

My first foray into programming was writing Python on a Raspberry Pi to flicker some LED lights — it wasn’t ...

Jaden Baptista

Technical Writer

What is ecommerce? The complete guide
e-commerce

What is ecommerce? The complete guide

How well do you know the world of modern ecommerce?  With retail ecommerce sales having exceeded $5.7 trillion worldwide ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

Data is king: The role of data capture and integrity in embracing AI
ai

Data is king: The role of data capture and integrity in embracing AI

In a world of artificial intelligence (AI), data serves as the foundation for machine learning (ML) models to identify trends ...

Alexandra Anghel

Director of AI Engineering

Looking for something?

facebookfacebooklinkedinlinkedintwittertwittermailmail

When users visit your site, they want to find relevant content as quickly as possible. And after pouring resources into perfecting your site, you want to ensure visitors can find what they need with as little effort (and frustration) as possible. 

Federated search is a powerful tool to improve your site search and benefit your overall business. But with great power comes unique challenges. With enough forethought and a clear plan, your site can reap the benefits and minimize the pain points associated with federated search. 

 

What is Federated Search?

Federated search is a search technique that involves indexing multiple data sources at once, then presenting this variety of results to users in one unified interface .

Most traditional search methods only indexes a single data source at a time. For example, a user might only be able to search through all of the HTML pages on a site or only the files stored inside a database. But with federated search, you improve the likelihood of users finding what they need on the first attempt by including more data sources. 

There are multiple possible approaches to building a federated search, and the underlying architecture can vary. However, all federated search solutions share the same core feature of allowing users to search many data sources using one search process and interface.

Benefits of Federated Search

Thanks to the ability to consolidate and centralize the search process, federated search offers a range of benefits for both the site and the site visitors.

Federated search offers a number of benefits for your website:

Improves Customer Engagement

By delivering a simpler, more efficient user experience, federated search increases customer engagement and satisfaction rates. Federated search also improves discoverability, by providing the most relevant information in an intuitive format and even, at times, surfacing content a user didn’t even know they needed. 

Increases Conversions

With a federated search interface, visitors reach their desired destination with fewer clicks overall. The result? Users stay on your site longer, rather than leaving due to dissatisfaction. This ultimately increases the click through rate and the chances of a successful conversion.

Increases Search Coverage and Scope

 With federated search, you can make all of your content easily searchable using a single tool. It eliminates the need to set up and manage multiple search tools for different types of content. Your single tool can be much more robust and comprehensive than each individual tool.

Enhances Security

Less is more when it comes to security. In other words, the fewer applications and databases that need management, the fewer opportunities there are for your systems to be compromised. Because federated search means you only have to maintain one search engine, there are fewer security risks to worry about.

Better Search Relevance 

The federated search interface allows you to decide how each distinct type of content appears in the search results. With several search engines, defining the relative importance of each type of content is not possible. But with federated search, you can dynamically establish the importance of different content assets, determining, for example, if products should show up higher than blogs posts in the results.

 

Federated search also benefits your users in several important ways: 

Streamlines the User Experience 

For a site visitor, navigating a site map to look through a wide catalog of products can be tedious and ineffective. With federated search, users need only to know where the search box is in order to look for anything, no matter where it is on your website. You provide a single unified experience across any online properties, such as blog posts, FAQs, user-generated content, and other relevant data. 

Offers Easy-to-Interpret Results

Federated search engines can be configured to use methods like highlighting to help users interpret search results from different categories. In this way, federated search makes it easier for users to interpret complex information, even if the information includes multiple types of data.

Overall, federated search makes it easier and more efficient for users and sites alike to work with the range of data sources that many organizations now maintain. 

Challenges of Federated Search

Federated search offers so many benefits because it is more sophisticated than traditional, simple search. But with that complexity and sophistication come a few new and different challenges. They can be addressed, but they require some advance planning.

 

For your company, those challenges could include:

Implementation Challenges

Although a federated search solution is easier to maintain in the long run than multiple independent search tools, it often takes more upfront work to implement. Implementing federated search requires an initial investment of time and resources. Using a third-party federated search partner to create and implement the federated search architecture may consume less internal time, but will still require upfront investment.

Data Source Inconsistency

You can use federated search with virtually any type of data source. However, if your data sources vary widely in type and structure, the index schema will as well. Thus, the relevance configurations will need to be fine-tuned according to the data source. 

Duplication

If you run the same search across multiple data sources, you increase the risk that some of the data you search will be duplicated. For example, you might have an HTML Web page and a PDF file that contain identical information, and you don’t want to present duplicate search results to your users. Fortunately, there is an easy way to address this challenge: deduplication, or the identification and elimination of redundant data. You can implement deduplication within your search tool.

 

For users, common federated search challenges include:

Too Many Results

Because federated search draws on so many data sources, there is a risk that your users will be presented with so many results that they will struggle to find the most relevant ones. However, you can address that risk by taking steps to optimize the relevance of your search results. Designing a user interface that makes results easier to interpret can help, too.

Lagging Performance

Federated search may also not perform as fast as search tools that have to work with only one type of data source. That’s why it’s important to conduct search performance testing to ensure that your federated search solution meets users’ expectations.

 

How to Choose a Federated Search Solution

Choosing the right federated search tool requires taking inventory of your company’s needs, your users’ needs, your existing site architecture, and your IT capabilities. Consider the following areas as you evaluate federated search options: 

 

Business goals

What specifically is your business hoping to get out of federated search? Is ease of implementation more important than performance or coverage? Or is the usability and performance of the end product more important than the implementation process? If your business depends on search, like eCommerce sites, how important is reliability and uptime

The best federated search site search solutions should provide hassle-free implementation (either through hands-on implementation or expert guidance) and unparalleled performance.   

 

Customer needs

Which benefits will federated search bring to your customers? Are you trying to simplify their experience on your website, increase engagement, help them understand complex search results more effectively, or do all of this at the same time? What features does the platform offer to help customers navigate results, such as highlighting or categorizing search results? 

Make sure your federated search provider understands your priorities and offers features that address them.

 

Search Engine Features

Consider the specific features offered by the federated search solution that you choose, and how those features reinforce your goals. For example, your federated search tool should have the ability to show different types of results in the same search box. It should easily index (and structure, if necessary) different types of content for the search, even from various websites or CMS installations. 

Before you choose a federated search provider, find out what features they offer to help you accomplish these goals, and any other objectives for your site search. 

 

Find the Federated Solution for Your Site

For users and companies alike, federated search offers many benefits, ranging from greater simplicity and convenience to tighter security. But it also presents some special challenges that you need to consider in order to implement a federated search solution that best fits the needs of your business and your customers.

As you evaluate federated search solutions, consider Algolia. With lightning-fast search results, extensive customizability and support for virtually any type of data source, Algolia makes it easy to build an effective federated search solution regardless of the type or scope of your.

 See for yourself  the significant difference between buying vs. building search, or watch a demo to see Algolia in action.

About the author
Pauline Lafontaine

Sr. Product Marketing Manager

linkedin

Is your site performing as well as it could?

Assess your search experience in less than 5 minutes.

Evaluate your site
Is your site performing as well as it could?

Recommended Articles

Powered byAlgolia Algolia Recommend

What is Federated Search?
ux

Louise Vollaire

Product Marketing Manager

The 4 Types of Federated Search
product

Matthieu Blandineau

Sr. Product Marketing Manager

Site Crawling & Federated Search: How to make content discoverable
product

Samuel Bodin

Software Engineer Crawler