Blogs
Insights de desenvolvedores e artigos práticos dos nossos experts para inspirar e fortalecer suas buscas
Late chunking in Elasticsearch with Jina Embeddings v2
Using the Jina Embeddings v2 model in Elasticsearch, implementing late chunking, and exploring the pros and cons of long context embeddings models.
Elasticsearch open inference API adds support for IBM watsonx.ai Slate embedding models
How to use IBM watsonx™ Slate text embeddings when building Search AI experiences with Elasticsearch vector database.
Hotspotting in Elasticsearch and how to resolve them with AutoOps
Explore hotspotting in Elasticsearch and how to resolve it using AutoOps.
Phrase synonyms like a boss with the Elasticsearch synonyms API
Learn how to use phrase synonyms with the synonyms API in real scenarios.
Better Binary Quantization (BBQ) vs. Product Quantization
Why we chose to spend time working on Better Binary Quantization (BBQ) instead of product quantization in Lucene and Elasticsearch.
Federated SharePoint searches with Azure OpenAI Service On your data
Using Azure OpenAI Service on your data with Elastic as vector database.
Elasticsearch retrievers architecture and use-cases
Elasticsearch retrievers have gone through a significant revamp and are now generally available for all to use. Learn all about their c and use-cases.
Faster integration tests with real Elasticsearch
Learn how to make your automated integration tests for Elasticsearch faster using various techniques for data initialization and performance improvement.
How to use hybrid search for an e-commerce product catalog
Learn how to use hybrid search to build an e-commerce product catalog, using faceting, promotions, personalization and behavioral analytics.
Better Binary Quantization (BBQ) in Lucene and Elasticsearch
How Better Binary Quantization (BBQ) works in Lucene and Elasticsearch.
GenAI for customer support — Part 5: Observability
This series gives you an inside look at how we're using generative AI in customer support. Join us as we share our journey in real-time, focusing in this entry on observability for the Support Assistant.
Semantic search implementation: Building a recipe search with Elasticsearch
Implementing of semantic search in the context of e-commerce websites.