Expert Apache Lucene Consulting
Regardless of the size of your organisation, Sease’s team of professionals has what it takes to make your search project a success. Equipped with extensive technical experience and deep knowledge of the internals of the tech, our Apache Lucene specialists guarantee excellent results at every stage of the design and development of your Apache Lucene-based search system and in the integration of new techniques related to artificial intelligence.
Take a look at our Apache Lucene consultancy services.
Why choose Sease as your Apache Lucene experts?
Choosing us as your Apache Lucene experts ensures expertise and dedicated support for optimizing your search capabilities.
With +10 years of expertise and a proven track record of successful implementations across diverse industries, our team brings in-depth knowledge and experience to every project.
From comprehensive consulting and architecture design to seamless integration, we provide end-to-end solutions that drive tangible results for your organization.
Alessandro Benedetti
DIRECTOR @ SEASE
Alessandro Benedetti is an Apache Lucene / Apache Solr Committer, and an Apache Solr PMC Member (Project Management Committee).
choose our services as the world’s most innovative companies do:
Apache Lucene Analysis & Audit
Our Apache Lucene exploration and discovery service provides tailored insights and strategic recommendations to optimize your search platform.
We offer expert advice on the architecture, implementation, and usage to enhance user experience and accommodate future needs.
You will get a detailed report, organised to highlight what you have done well and what could have been done better, in a readable and comprehensive format, including implementation examples and corrections.
And the cherry on the cake, we’ll follow up with a call to clarify the report and respond to questions.
Apache Lucene Migration Services
migration to Apache Lucene
- Evaluation of pros and cons of migrating from a different search technology to Apache Lucene.
- Migration from Elasticsearch, OpenSearch, Vespa and other search technologies to Apache Lucene.
Apache Lucene version upgrade
- Evaluation of pros and cons of upgrading to another version of Lucene.
- Upgrade your current Lucene version to the latest one
Apache Lucene systems design & development
design & development
We undertake the technical design and development of complete search systems or specific features, tailoring solutions to meet our client’s project requirements. We aim to deliver efficient and reliable solutions that exceed expectations.
We are domain agnostic: from an enterprise search engine to e-commerce, from Music to TV shows and economics: we have a deep theoretical and practical understanding of information retrieval techniques and have successfully applied them to Lucene in many different domains over the years.
Artificial Intelligence integration to Apache Lucene
large language models
Large Language Models can be a powerful ally to power your Lucene search.
Our information retrieval experts can guide you through selecting the optimal Large Language Model (LLM) for your project and domain, customizing it to suit your specific needs, and quantifying the enhancements achieved.
- Identify the best Large Language Model for your project
- Customize the LLM and integrate it into your search system
- Evaluate the enhancements achieved with the integration of the Large Language Model.
There are many ways in which our team of Apache Lucene experts can enhance your Solr experience using Large Language Models.
Contact us to find out how to proceed with your project and domain.
retrieval augmented generation
Retrieval Augmented Generation opens the door to a completely new user experience where the top-k results of your Lucene search are used to power a generative step that provides answers with citations in natural language.
Our team specialize in implementing and evaluating RAG, relying on Apache Lucene as your main search backend.
- We evaluate the pros and cons of the implementation of a Retrieval Augmented Generation system into your project
- We integrate and optimize the RAG system into your search engine
neural (vector-based) search
From chunking to the choice of the best embedding model for your use case, our Apache Lucene expert can help you implement vector-based search with Apache Lucene.
HYBRID SEARCH
Hybrid search techniques allow you to mix traditional keyword search with vector-based search and get the benefits of both worlds.
Our team of Apache Lucene experts can help you implement it in your use case.
Learning to Rank
Learning To Rank adds the ability of integrating Machine Learning models to learn better ways of ranking your search results based on many relevance, users’ and business factors.
We applied Learning To rank in many clients’ projects and we would be delighted to help you in implementing it in your Apache Lucene instance.
natural language processing
We’ve been integrating NLP techniques in Lucene since 2013, with a focus on Named Entity Recognition and Linking, Query intent classification, etc.
With the advent of modern models such as GliNER, this is still incredibly relevant.
We can help you designing and implementing such integration with your Apache Lucene instance.
query/document expansion
Many techniques can be implemented in Apache Lucene to enrich and expand your query and your document for a better recall and user experience.
Our Apache Lucene experts can help you integrate learned sparse vector models into your Solr search and get the benefits and explainability of such interesting approaches!
multi-modal search
Multi-modal search allows you to search across different media such as text, video, audio and images.
We can help you introduce this functionality in your Lucene search engine or improve your current solution.
Search Relevancy Tuning in Apache Lucene
SEARCH RELEVANCE
Returning relevant search results is hard, but we are up for the challenge!
We’ve been working on improving the relevance of search systems for many years and in many different domains, we explored many techniques, presented approaches at conferences and hosted many pieces of training on the topic.
We can tune the search relevancy of your Apache Lucene search system to improve your search experience.
- We can model your data structure and text analysis
- We can design better queries to satisfy your requirements
- We can tune search components and features to target your objectives
- We can integrate advanced boosting/techniques to improve the quality of results.
Search Results Evaluation in Apache Lucene
SEARCH system quality evaluation
Being active researchers in the topic of search results evaluation, we are experts in evaluating the quality of your search results.
- We can evaluate your search results and give you a detail report
- We can integrate your search system to our free tool Rated Ranking Evaluator Enterprise, for an easy collection of user feedback and an overview of your search system quality.
Apache Lucene optimization Services
Performance Tuning
Apache Lucene is a complex project: many things can be achieved in many ways and it’s often not that easy to choose the best implementation to minimise the memory footprint, disk and CPU utilisation.
And we know very well that resources = money and exhausting resources can lead to production issues and problems.
At Sease, we know the intricacy of Apache Lucene internals and our Information Retrieval specialists can help you minimise your resource consumption and maximise the performance of your system.
Query Response/indexing tim
Speed is vital in any search system and Apache Lucene is no different.
Achieving good indexing speed allows for fresher results to be available sooner and fast query response time makes your users happy!
We can guide you toward query optimisation and techniques that can speed up your system.
Apache Lucene Feature Integration
Our Apache Lucene specialists can help you integrate various features to improve the quality of your search system. Choose from one of these or feel free to ask for others.
spellchecker
faceting
sorting
typeahead
multilingual search
Our Apache Lucene exploration and discovery service provides tailored insights and strategic recommendations to optimize your search platform.
We offer expert advice on the architecture, implementation and usage to enhance user experience and accommodate future needs.
You will get a detailed report, organised to highlight what you have done well and what could have been done better, in a readable and comprehensive format, including implementation examples and corrections.
And the cherry on the cake, we’ll follow up with a call to clarify the report and respond to questions.
Migration to Apache Lucene
- Evaluation of pros and cons of migrating from a different search technology to Apache Lucene.
- Migration from Elasticsearch, OpenSearch, Vespa and other search technologies to Apache Lucene.
Apache Lucene Version Upgrade
- Evaluation of pros and cons of upgrading to another version of Lucene.
- Upgrade your current Lucene version to the latest one
We undertake the technical design and development of complete search systems or specific features, tailoring solutions to meet our client’s project requirements. We aim to deliver efficient and reliable solutions that exceed expectations.
We are domain agnostic: from an enterprise search engine to e-commerce, from Music to TV shows and economics: we have a deep theoretical and practical understanding of information retrieval techniques and have successfully applied them to Lucene in many different domains over the years.
Large Language Models can be a powerful ally to power your Lucene search.
Our information retrieval experts can guide you through selecting the optimal Large Language Model (LLM) for your project and domain, customizing it to suit your specific needs, and quantifying the enhancements achieved.
- Identify the best Large Language Model for your project
- Customize the LLM and integrate it into your search system
- Evaluate the enhancements achieved with the integration of the Large Language Model.
There are many ways in which our team of Apache Lucene experts can enhance your Lucene experience using Large Language Models.
Contact us to find out how to proceed with your project and domain.
Retrieval Augmented Generation opens the door to a completely new user experience where the top-k results of your Lucene search are used to power a generative step that provides answers with citations in natural language.
Our team specialize in implementing and evaluating RAG, relying on Apache Lucene as your main search backend.
- We evaluate the pros and cons of the implementation of a Retrieval Augmented Generation system into your project
- We integrate and optimize the RAG system into your search engine
From chunking to choosing the best embedding model for your use case, our Apache Lucene expert can help you implement vector-based search with Apache Lucene.
Hybrid search techniques allow you to mix traditional keyword search with vector-based search and get the benefits of both worlds.
Our team of Apache Lucene experts can help you implement it in your use case.
Learning To Rank adds the ability of integrating Machine Learning models to learn better ways of ranking your search results based on many relevance, users’ and business factors.
We applied Learning To rank in many clients’ projects and we would be delighted to help you in implementing it in your Apache Lucene instance.
We’ve been integrating NLP techniques in Lucene since 2013, with a focus on Named Entity Recognition and Linking, Query intent classification, etc.
With the advent of modern models such as GliNER, this is still incredibly relevant.
We can help you design and implement such integration with your Lucene instance.
Many techniques can be implemented in Apache Lucene to enrich and expand your query and your document for a better recall and user experience.
Our Apache Lucene experts can help you integrate learned sparse vector models into your Lucene search and get the benefits and explainability of such interesting approaches!
Multi-modal search allows you to search across different media such as text, video, audio and images.
We can help you introduce this functionality in your Lucene search engine or improve your current solution.
Search Relevancy Tuning in Apache Lucene
Returning relevant search results is hard, but we are up for the challenge!
We’ve been working on improving the relevance of search systems for many years and in many different domains, we explored many techniques, presented approaches at conferences and hosted many pieces of training on the topic.
We can tune the search relevancy of your Apache Lucene search system to improve your search experience.
- We can model your data structure and text analysis
- We can design better queries to satisfy your requirements
- We can tune search components and features to target your objectives
- We can integrate advanced boosting/techniques to improve the quality of results.
Search Results Evaluation in Apache Lucene
Being active researchers in the topic of search results evaluation, we are experts in evaluating the quality of your search results.
- We can evaluate your search results and give you a detailed report
- We can integrate your search system into our free tool Rated Ranking Evaluator Enterprise, for an easy collection of user feedback and an overview of your search system quality.
Apache Lucene is a complex project: many things can be achieved in many ways and it’s often not that easy to choose the best implementation to minimise the memory footprint, disk and CPU utilisation.
And we know very well that resources = money and exhausting resources can lead to production issues and problems.
At Sease, we know the intricacy of Apache Lucene internals and our Information Retrieval specialists can help you minimise your resource consumption and maximise the performance of your system.
Speed is vital in any search system and Apache Lucene is no different.
Achieving good indexing speed allows for fresher results to be available sooner and fast query response time makes your users happy!
We can guide you toward query optimisation and techniques that can speed up your system.
Our Apache Lucene specialists can help you integrate various features to improve the quality of your search system. Choose from one of these or feel free to ask for others.
Spellchecker
Faceting
sorting
typehead
multilingual search
Client's Feedback
Alessandro is an extremely knowledgeable search developer, with a rare level of deep insights into the inner workings of Apache Lucene and Apache Solr. Furthermore, his passion and dedication is exemplary, attending meetups, taking time out of work to attend conferences, and working on open source contributions in his own time. It has been a pleasure working with him, and I would definitely hire Alessandro again if the opportunity arose.
Michael Lewis
Dev Team Lead @Barclays