Blogs

Entwickler-Einblicke und praktische Anleitungen von unseren Experten, um Ihr Sucherlebnis zu inspirieren und zu verbessern

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Less merging and faster ingestion in Elasticsearch 8.11
Elasticsearch Labs

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.

Adrien Grand
How to create custom connectors for Elasticsearch
Elasticsearch Labs

How to create custom connectors for Elasticsearch

Learn how to create custom connectors for Elasticsearch to simplify your data ingestion process.

Jedr Blaszyk
Lexical and semantic search with Elasticsearch
Elasticsearch Labs

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.

Priscilla Parodi
Generative AI architectures with transformers explained from the ground up
Elasticsearch Labs

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.

Aris Papadopoulos
Update your synonyms in Elasticsearch: Introducing the synonyms API
Elasticsearch Labs

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!

Carlos Delgado
Multilingual vector search with the E5 embedding model
Elasticsearch Labs

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.

Josh Devins
Bringing maximum-inner-product into Lucene
Elasticsearch Labs

Bringing maximum-inner-product into Lucene

Explore how we brought maximum-inner-product into Lucene and the investigations undertaken to ensure its support.

Benjamin Trent
Adding passage vector search to Lucene
Elasticsearch Labs

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.

Benjamin Trent
Searching by music: Leveraging vector search for audio information retrieval
Elasticsearch Labs

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!

Alex Salgado
Demystifying ChatGPT & LLMs: Different methods for building AI search
Elasticsearch Labs

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.

Sherry Ger
Retrieval vs. poison — Fighting AI supply chain attacks
Elasticsearch Labs

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.

Dave Erickson
Generative AI using Elastic and Amazon SageMaker JumpStart
Elasticsearch Labs

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.