Search and Data blog

Elastic{ON} Paris 2026 arrived with a bold promise of shaping the future of search. From the stage of the Maison de la Mutualité, one message stood out clearly the future of Elasticsearch is agentic. Beyond this vision, the event delivered concrete product updates, architectural evolutions, and real-world use cases that show how Elastic is evolving across search, observability, and security.

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Analysis of the arrival of ChatGPT Atlas and the challenges, changes, and prospects for search engines and users.

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Search is evolving faster than ever, and technologies like OpenSearch are leading the way. In this blog, we’ll explore the latest OpenSearch features such as agents and the Model Context Protocol, that unlock new superpowers for building next-generation rag applications.

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Berlin Buzzwords 2025 unites leading voices in AI, Big Data, Search, and Scalable Data Infrastructure, all anchored around open-source innovation. From GPUs for LLMs to data sovereignty, from search platforms to real‑time pipelines, this is where ideas meet engineering and where tomorrow’s data landscape takes shape.

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At Haystack US, the search and relevance community came together to explore how AI and LLMs are reshaping the way we search. Let's discover this year's hot topics!

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In this post, we explore how reranking methods like RRF, min-max normalization, L2, and atan boost the performance of hybrid search systems by combining semantic and lexical approaches.

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ElasticON has returned to the capital with plenty of new features and exciting talks. This article wraps up the event.

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Refactor the code created previously then search for data based on specific criteria. Use lambda notation when using the toolbox. Store results in specific objects.

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Lessons learned from managing a six-billion-vector database, including challenges, insights, and optimization tips.

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In recent times, we often hear more and more about prompt engineering. But what exactly is this technique? When and how can we use it?

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Tests for implementing automated horizontal scalability on a Solr 9 cluster in a Kubernetes environment

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This year again, Voxxed Days did not disappoint expectations. Inside this article, you will find a summary of the talks we attended as viewers and as speakers.

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Recently, OpenSearch implemented connectors, a functionality that enables connecting a machine learning model without the need to internally deploy it to the cluster. In this blog article we will discover how to use connectors and implement a rag through the utilization of connectors and agents.

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The inaugural OpenSearch Conference in Europe takes place in Berlin this May and Adelean is taking part in the event. This page is listing some of our OpenSearch references and talks for you to enjoy during and after the event.

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The Adelean team is back from Devoxx France 2024, the major conference for developers, which this year focused on generative artificial intelligence.

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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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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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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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We are back from DevFest Toulouse, an opportunity for us to attend several conferences, train ourselves and share a personalized version of our presentation Cloner ChatGPT with Hugging Face and Elasticsearch.

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BLIP-2 is a model that combines the strengths of computer vision and large language models. This powerful blend enables users to engage in conversations with their own images and generate descriptive content. In this article, we will explore how to leverage BLIP-2 for creating enriched image descriptions, followed by indexing them as vectors in Opensearch.

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The Adelean team is back from the Mix Camp for E-Commerce Search 2023 and shares their takeaways.

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A practical guide about how to import and use NLP models into OpenSearch for text analysis and inference in your search and analytics workflows

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Report on the conference with an overview of the various topics I was able to attend.

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An overview about NLP and a practical guide about how it can be used with the Elastic stack to enhance search capabilities.

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A summary of the talk Scaling an online search engine to thousands of physical stores by Roudy Khoury and Aline Paponaud at ElasticON 2023

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Learn about vector search and how to implement it using JINA library, including document arrays for vector embedding, image embedding, and more.

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Everything about Question-Answering and how to implement it using a flask and elasticsearch.

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On Tuesday, November 15, 2022, the seventh edition of the Search & Data Meetup was held, focusing on search engines developed at Station F.

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Haystack is the conference for improving search relevance.

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Berlin Buzzwords is the leading independent conference on the storage, processing, streaming, and searching of large amounts of digital data, with a focus on open source software projects. It's an opportunity for us to present three topics.

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all.site is a collaborative search engine. It works like Bing or Google but it has the advantage of being able to go further by indexing for example media content and organizing data from systems like Slack, Confluence or all the information present in a company's intranet.

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all.site is a collaborative search engine. It works like Bing or Google but it has the advantage of being able to go further by indexing for example media content and organizing data from systems like Slack, Confluence or all the information present in a company's intranet.

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A summary of the talk Lucian Precup and Aline Paponaud gave at the Open Source Experience conference, with a link to the video, screenshots, photos and more.

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The weekend is coming, winter is coming, so here's a little press review to keep you busy on those long evenings...

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The fifth edition of the Search and Data meetup is dedicated to e-commerce search and open source. A nice agenda to mark our return to the Meetup scene

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In this article, we explain how we moved from the old Elasticsearch synonym filters to the new Synonym Graph Token Filter.

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In this article, we present a simple method to rewrite user queries so that a keyword-based search engine can better understand them. This method is very useful in the context of a voice search or a conversation with a chatbot, context in which user queries are generally more verbose.

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This article is a transcript of the lightning talk we presented this week at Haystack - the Search and Relevance Conference. We showed a method allowing to enrich and rewrite user queries using Wikidata and the Elasticsearch percolator.

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Elasticsearch is an open technology that allows integrators to build ever more innovative and powerful solutions. Elasticsearch

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Adelean is a search engine integrator. Since 2010, we accompany you in the implementation of efficient and relevant search engines.

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Many players are present today on the search engine market. Some are emerging thanks to impressive fundraising. Acquisitions and partnerships are multiplying.

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