Search engine technologies experts for your projects

Extraction

Connectors to access any data source, of any format or volume.
Transformation

Algorithms to aggregate and enrich the information to bring you the best experience.
Search

Relevant and performant search engines that you own and evolve.

Audit

Independent integrator, we have one goal: to provide you with a solution that is the most adapted to your environment and your needs. During our audit we analyze your ecosystem to propose you the ideal and persistent technology.
Training

We share with your team all the necessary knowledge to master the chosen search technologies. With our training offers we are convinced that anyone can manage a search engine project. Our customers are invited to develop their skills and aptitudes internally.
Expertise

Benefit from our 10+ year expertise on search engine problematics. Through a lot of missions, regular trainings, participation to workshops and conferences of our partners, our team is aware of market evolutions and new technology development.

Search and Data blog

Understanding the differences between sparse and dense semantic vectors

31/01/2024

More and more frequently, we hear about semantic search and new ways to implement it. In the latest version of OpenSearch (2.11), semantic search through sparse vectors has been introduced. But what does sparse vector mean? How does it differ from dense matrix? Let's try to clarify within this article.

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Java for Elasticsearch, episode 1. Querying the cluster

18/01/2024

Diving into Elasticsearch from the code side is surprisingly straightforward once you get the hang of it. In the inaugural article of this series, we're excited to guide you through establishing a robust three-node cluster and connecting to it securely using self-signed certificates.

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A guide to a full Open-Source RAG

01/12/2023

Delving into Retrieval-Augmented Generation (RAG). In this article we explore the foundational concepts behind RAG, emphasizing its role in enhancing contextual understanding and information synthesis. Moreover, we provide a practical guide on implementing a RAG system exclusively using open-source tools and large language model.

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