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Insights de desenvolvedores e artigos práticos dos nossos experts para inspirar e fortalecer suas buscas

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Bit vectors in Elasticsearch
Elasticsearch Labs

Bit vectors in Elasticsearch

Discover what are bit vectors, their practical implications and how to use them in Elasticsearch.

Benjamin Trent
Evaluating search relevance part 1 - The BEIR benchmark
Elasticsearch Labs

Evaluating search relevance part 1 - The BEIR benchmark

Learn to evaluate your search system in the context of better understanding the BEIR benchmark, with tips & techniques to improve your search evaluation processes.

Thanos Papaoikonomou
Introducing Learning To Rank (LTR) in Elasticsearch
Elasticsearch Labs

Introducing Learning To Rank (LTR) in Elasticsearch

Discover how Learning To Rank (LTR) can help you to improve your search ranking and how to implement it in Elasticsearch.

Aurélien Foucret
Build a RAG application with Elasticsearch's semantic_text and Amazon Bedrock
Elasticsearch Labs

Build a RAG application with Elasticsearch's semantic_text and Amazon Bedrock

Learn how to build a RAG application using Elasticsearch's semantic_text mapping type and Amazon Bedrock without leaving Elastic.

Gustavo Llermaly
Elasticsearch open inference API adds Amazon Bedrock support
Elasticsearch Labs

Elasticsearch open inference API adds Amazon Bedrock support

Elasticsearch open inference API added Amazon Bedrock support. Here's how to use Amazon Bedrock models via Elasticsearch's open inference API.

Mark Hoy
Playground: Experiment with RAG using Bedrock Anthropic Models and Elasticsearch in minutes
Elasticsearch Labs

Playground: Experiment with RAG using Bedrock Anthropic Models and Elasticsearch in minutes

Explore Elastic's Playground and learn how to use it to experiment with RAG applications using Bedrock Anthropic Models & Elasticsearch.

Joe McElroy
Search complex documents using Unstructured.io and Elasticsearch vector database
Elasticsearch Labs

Search complex documents using Unstructured.io and Elasticsearch vector database

Learn how to ingest and search complex proprietary documents with Unstructured.io and Elasticsearch for RAG applications.

Amy Ghate
Combining sparse, dense and geo fields in Elasticsearch
Elasticsearch Labs

Combining sparse, dense and geo fields in Elasticsearch

Explore Elasticsearch data fields, such as sparse, dense & geo fields, and how to combine them to produce in-depth analytics on your data.

Madhusudhan Konda
How Generative AI will transform web accessibility: Building an AI screen reader
Elasticsearch Labs

How Generative AI will transform web accessibility: Building an AI screen reader

Explore Generative AI's impact on web accessibility and learn how to build a smarter, more intuitive screen reader with AI.

Matthew Adams
Playground: Experiment with RAG applications with Elasticsearch in minutes
Elasticsearch Labs

Playground: Experiment with RAG applications with Elasticsearch in minutes

Learn about Elastic's Playground and how to use it to experiment with RAG applications using Elasticsearch.

Joe McElroy
Elasticsearch vs. OpenSearch: Vector Search Performance Comparison
Elasticsearch Labs

Elasticsearch vs. OpenSearch: Vector Search Performance Comparison

Elasticsearch is out-of-the-box 2x–12x faster than OpenSearch for vector search

Ugo Sangiorgi
Elasticsearch new semantic_text mapping: Simplifying semantic search
Elasticsearch Labs

Elasticsearch new semantic_text mapping: Simplifying semantic search

Learn how to use the new semantic_text field type and semantic query for simplifying semantic search in Elasticsearch.

Carlos Delgado