If your business depends on customers or staff finding information quickly and accurately, you need effective search~ We are experts in all aspects of search: from migrations from legacy systems, to building fast & scalable indexes, tuning search relevance and creating elegant user interfaces~ We offer on-site visits to discuss your project and can also carry out proof-of-concept studies - we also offer training and support for the leading open source search engines~ The Flax Team believes that Open Source software is the best choice for implementing search engines, as it allows for rapid, flexible development based on proven technology~ Providing continuous improvement and preventing vendor lock-in, the Open Source model also offers great value for money

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Flax provide independent open source search consulting services, data ingestion, Big Data, classification and taxonomy solutions, using software such as Apache Lucene/Solr, Elasticsearch, Logstash, Kibana, Apache Hadoop and Apache Kafka.

Our clients are from a wide range of sectors including biotechnology, e-commerce, government, intranet search, legal, media monitoring, news and media and recruitment. Whether your requirement is to sell products, publish news, organise your data, monitor the media, match resources to opportunities or simply provide a powerful and accurate search engine, we can help.

Based in Cambridge U.K. and with a network of international partners, we work with organizations across the world to tune their existing systems or to design and develop new applications.

Latest News From The Blog

Boosts Considered Harmful – adventures with badly configured search

During a recent client visit we encountered a common problem in search – over-application of ‘boosts’, which can be used to weight the influence of matches in one particular field. For example, you might sensibly use this to make results … More

Setting up your first Quepid test case

Quepid is an innovative tool from our partners Open Source Connections, which allows you to bridge the gap between content owners (who really know what’s in your search index and how people might search for it) and search developers (who … More

Simple Solr connector for React.js

We’ve just published a simple (60 lines of code) React.js component to npm which makes it easy to perform searches on a Solr 6 instance and get the data into the app to display. Unlike Twigkit or¬†Searchkit this is¬†not a … More

Can we fix your Solr or Elasticsearch system in a single day?

Here at Flax, we’re often called in to take a look at existing Apache Solr or Elasticsearch search applications, to suggest improvements, tune-ups or enhancements. It’s impossible for us to know ahead of time what we might find – out-of-date … More

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