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Informations pour les développeurs et articles pratiques de nos experts pour inspirer et dynamiser votre expérience de recherche
Less merging and faster ingestion in Elasticsearch 8.11
Discover how Elasticsearch 8.11 improved its indexing buffer, resulting in less segment merging and faster ingestion.
How to create custom connectors for Elasticsearch
Learn how to create custom connectors for Elasticsearch to simplify your data ingestion process.
Lexical and semantic search with Elasticsearch
In this blog, we'll explore various approaches to retrieving information using Elasticsearch, focusing on lexical and semantic search.
Generative AI architectures with transformers explained from the ground up
Here's how generative AI works from the ground up, including embeddings, transformer-encoder architecture, training/fine-tuning models & more.
Update your synonyms in Elasticsearch: Introducing the synonyms API
Previously, updating synonyms required the use of synonym files that needed to be updated on every node in your Elasticsearch clusters. Now you can use the synonyms API to update synonyms in a single request!
Multilingual vector search with the E5 embedding model
Here's how multilingual vector search works and how to use Elasticsearch with the multilingual E5 embedding model, including examples.
Bringing maximum-inner-product into Lucene
Explore how we brought maximum-inner-product into Lucene and the investigations undertaken to ensure its support.
Adding passage vector search to Lucene
Here's how to add passage vectors to Lucene, the benefits of doing so and how existing Lucene structures can be used to create an efficient retrieval experience.
Searching by music: Leveraging vector search for audio information retrieval
Want to find out how to apply vector search to music data? In this post, we combine audio embeddings, information retrieval, machine learning, vector databases, and audio data to deliver new and exciting possibilities!
Demystifying ChatGPT & LLMs: Different methods for building AI search
Explore the inner workings of ChatGPT and LLMs, and discover three effective approaches for building generative AI search experiences for specific domains.
Retrieval vs. poison — Fighting AI supply chain attacks
Learn about the supply chain vulnerabilities of artificial intelligence large language models (LLMs) and how the AI retrieval techniques of search engines can be used to fight misinformation and intentional tampering of AI.
Generative AI using Elastic and Amazon SageMaker JumpStart
Learn how to build a generative artificial intelligence (GAI) solution with Amazon SageMaker JumpStart, Elastic, and Hugging Face open source LLMs using the sample implementation provided in this post and a data set relevant to your business.