Search APIs

In this article, we will discuss different approaches to count items in an index, their advantages, and limitations.

Learn how to use the advanced features of Elasticsearch's Percolate Query. This guide covers use cases, tips for optimization and more

Facets are a key component of Elasticsearch, providing a powerful way for you to get more insight into your data. To implement...

In Elasticsearch, the combined_fields query allows you to search several text fields as though their indexed values have been indexed into...

Here is a comparative analysis of vector search as implemented by OpenSearch and Elasticsearch. Vector search implementation...

The main Elasticsearch endpoints can be categorized into these types: Cluster APIs, Index APIs, Document APIs, and Search APIs. To use them...

In this article, we will discuss the different methods to search by document ID in Elasticsearch, their performance implications...

In this article, we will delve into the factors affecting _score and how to optimize it for better search performance.

In this article, we will explore how to perform aggregations on multiple fields in Elasticsearch, including different types...

Learn how to use Elasticsearch aggregation queries and explore various types of aggregations including metrics, bucketing, and pipeline.

This article will discuss various techniques to perform array matching in Elasticsearch, including the use of...

The Elasticsearch async search API retrieves many data in a stream fashion instead of a single request. To limit the maximum response size...

There are 4 types of Elasticsearch boolean clauses: filter, must, should & must_not. A single bool query can contain a mix of them. To use...

Elasticsearch boosting query is used to return only documents that match a positive query while minimizing the score of documents that...

This guide discusses the Elasticsearch collapse feature, including use cases, how to implement it, and best practices for optimizing...

An Elasticsearch composite aggregation allows to paginate every bucket from a multi-level aggregation effectively. An example of....

In Elasticsearch, the constant score query wraps other queries by executing them in a filter context. To implement constant_score query...

Explore how to use Elasticsearch's cardinality aggregation feature for counting distinct field occurrences in datasets.

This article will discuss advanced techniques and optimization tips for using Elasticsearch count query effectively.

In this article, we will discuss advanced techniques and best practices for performing cross-index queries in Elasticsearch.

In this article, we will discuss advanced usage and optimization techniques for Elasticsearch date histograms.

Discover how to use date range queries in Elasticsearch to filter documents, guided by step-by-step instructions and examples.

The exists query is used for returning the documents that have an indexed value for a specific field, which means it returns the documents...

In this article, we will discuss various techniques and best practices for exact match searches in Elasticsearch.

Learn how to use the exists filter with documents where a specified field contains non-null values.

In this guide, we'll dive into the Elasticsearch Explain API, its use cases & how to effectively leverage it for better search performance.

The Elasticsearch Explain API is very useful for trying to understand why any particular document got a specific score. Examples of...

Learn how to use Elasticsearch's Explain Query to get detailed scoring computations and understand why one document ranks above another.

This article will guide you through the process of querying Elasticsearch for documents where a specific field is not empty.

In this article, we will explore advanced usage and optimization techniques for Elasticsearch filter aggregation.

Learn how to implement, understand, and optimize Elasticsearch's filter queries for structured search, improving both speed and efficiency.

In this guide, we'll discuss various methods to find documents in Elasticsearch by field value and give examples for each method.

In this guide, we'll dive into the details of Elasticsearch Function Score and explore how to use it effectively to improve search results.

Elasticsearch offers advanced techniques for implementing fuzzy matching such as fuzzy query, n-grams, and custom analyzers. To implement...

Elasticsearch fuzzy queries offer a powerful way to handle imprecise search terms. To fine-tune the behavior of fuzzy queries...

Learn how to use the Geo Bounding Box query in Elasticsearch to retrieve documents within a specific geographical area with this guide.

Discover how to use the Geo-Distance query, guided by step-by-step instructions and examples to help you make the most of this feature.

Learn how to perform "group by" operations in Elasticsearch, with examples and step-by-step instructions to guide you through the process.

Learn how to group data by date fields in Elasticsearch using Date Histogram Aggregation. With step-by-step basic and advanced techniques.

In this article, we will explore different techniques to group documents by a field using Elasticsearch aggregations and bucketing.

Learn how to implement and query parent-child relationships. Understand how it differs from nested objects, its use-cases, and limitations.

This guide covers the different types of hybrid search queries supported by Elasticsearch, its limitations, optimizations, and more.

In this article, we will explore the Elasticsearch IDs query, its advantages, and how to use it effectively.

Learn how to retrieve nested objects and manage parent-child document relationships, with practical examples and step-by-step instructions

Elasticsearch Intervals query provides control over the words & their positions in a text that is required for a document to match a...

Elasticsearch keyword vs. text vs. wildcard vs. text field types. All have different features and are ideal for different use cases

In this article, we will discuss advanced techniques and optimization strategies for kNN search in Elasticsearch. We will cover: indexing...

In this article, we will discuss different techniques to limit the number of results returned by Elasticsearch & limitations to keep in mind.

Learn how to ensure case-insensitive matching by lowercasing tokens and how to create custom analyzers and normalizers for text analysis.

Learn how to use Elasticsearch's Match All Query to retrieve all documents within an index and how to optimize it for better performance.

Master precise text searches with Match Phrase Query. Learn the key differences from Match Query and how to boost relevance in results.

Match, Multi-Match & Match Phrase are all types of Elasticsearch queries, used to search for matching documents in an index. To use them...

The `minimum_should_match` parameter in Elasticsearch plays a crucial role in fine-tuning the relevance of search results. An Example...

This guide provides actionable examples for optimizing and fine-tuning the More_Like_This query for enhanced search results.

Learn the advanced usage of moving functions in Elasticsearch, including how to implement models and metrics and some common use cases.

_Msearch in Elasticsearch allows you to send multiple search requests within a single HTTP request. The Multi-Search API...

Learn how to use Elasticsearch multi-match from basic syntax to advanced queries for precise and versatile searches across multiple fields.

In this article, we will explore how to use multiple aggregations in Elasticsearch to gain deeper insights into your data.

In this article, we will discuss advanced techniques and best practices for querying multiple indices in Elasticsearch, including examples.

In this guide, we'll discuss techniques for combining & optimizing multiple queries in Elasticsearch, including the use of compound...

The nested terms query is a powerful tool for searching within nested objects in Elasticsearch. To implement this query...

Learn how to define nested fields, index & query nested documents with the Elasticsearch Nested Filter. Before it, you need to define...

An Elasticsearch nested query is used to search for documents containing specific criteria within these nested objects. To implement...

The Elasticsearch percolate query is a unique and valuable feature that allows users to perform reverse searches. To implement it...

Learn Elasticsearch's Post Filter key use cases, how to implement it to enhance search results., and important performance considerations.

Learn how to use Elasticsearch's bool query feature to combine different types of query clauses for more accurate and relevant search results

This guide explores best practices for constructing Elasticsearch queries, focusing on the Query DSL (Domain Specific Language). To create...

This guide explains how to construct and optimize queries for searching text in specific fields using Elasticsearch. To use

The Elasticsearch match_all query allows users to retrieve all documents within an index or multiple indices. To use Match_all...

In this article, we will discuss best practices and performance optimization techniques for querying multiple indices in Elasticsearch.

Learn how to use Nested Queries in Elasticsearch for querying complex, nested JSON documents and the essentials of terms & bool queries.

This article will discuss advanced techniques to improve query performance and accuracy. First, Use the "bool" query for..

In this guide, we'll show advanced usage & optimization techniques for range queries including how to use multiple ranges, optimize...

In this article, we will discuss the usage of regex queries in Elasticsearch, their performance implications...

In this article, we will explore different methods to efficiently count documents in Elasticsearch, including using the Count API...

Elasticsearch runtime fields with a type of lookup can retrieve field values from the associated indices using the fields parameter on...

In this guide, we'll explore techniques to perform searches by two fields, including multi-match queries, bool queries & query-time field...

In this article, we will discuss the best practices and optimization techniques when performing multi-index searches in Elasticsearch.

Learn how to create, register and effectively use Elasticsearch's search templates to format your queries and also with multi search API

In this article, we will explore how to use Elasticsearch aggregations and the cardinality metric to search...

Elasticsearch Sentiment Analysis determines the emotional tone of a text. Sentiment analysis has 2 categories: Binary and Multiclass...

Shingles, also known as word N-grams, are a useful technique for improving the relevance of search results in Elasticsearch. Examples...

In this article, we will discuss advanced techniques and best practices for sorting documents by boolean fields in Elasticsearch.

Sorting is an essential aspect of Elasticsearch. In this article, we will explore advanced techniques and best practices for sorting.

Learn how to use Elasticsearch's span_near query. Learn its structure, practical use-cases, and tips for optimization.

In this article, we will explore advanced techniques for querying Elasticsearch to find documents where a field contains...

Learn how to filter documents based on exact matches in a specific field with Elasticsearch's term filter. Learn its usage & best practices.

Learn how to use Elasticsearch Terms Stats feature to index your data, generate term-based statistics, and analyze data with detailed guide.

This article demonstrates practices for implementing token synonyms in Elasticsearch with a step-by-step guide on how...

Wildcard queries in Elasticsearch allow users to search for documents containing specific patterns in their text fields

In this article, we will discuss how to perform wildcard searches on multiple fields in Elasticsearch. Wildcard queries enable users...

The Elasticsearch scripted_metric aggregation enables users to write their own bespoke aggregation logic. Here's how to use it.

This guide delves into the intricacies of the Elasticsearch MGET operation, its syntax, how to optimize its usage & provides examples.

In this article, we will discuss how to optimize match_all queries in Elasticsearch to ensure efficient and reliable results.

In this article, we will discuss how to optimize nested aggregations in Elasticsearch for better performance and scalability.

This guide will delve into the main ways to perform vector search in Elasticsearch, how to run a k-NN search, configure the knn search...

In this article, we will discuss how to implement search-as-you-type in Elasticsearch using edge n-grams and the completion suggester.

This article will delve into the process of joining two indexes in Elasticsearch, focusing on the use of the `terms` query and the...

This article delves into the intricacies of Elasticsearch sort, offering insights on how to leverage this feature for optimized query...

In this article, we will dive deep into the concept of fixed interval aggregations, their use cases and implementation, including examples.

This article delves into the intricacies of 'fragment_size' and how to effectively use it to optimize search results.

This article will delve into the intricacies of using the "group by" functionality in Elasticsearch, providing examples and step-by-step...

Painless is a powerful and flexible scripting language that can be used to implement complex logic in Elasticsearch. To use it...

This article delves into the intricacies of Elasticsearch Cat API, how to use it, customize it, and troubleshoot with it, including examples.

The AND and OR operators in Elasticsearch allow for the creation of complex search conditions. To implement the AND and OR operators...

Named queries allow you to label your queries with a name. Named queries can be utilized in a variety of use cases such as...

In this article, we will discuss how to optimize Elasticsearch when sorting by text fields, which can be a challenging task...

In this article, we will discuss how to parse JSON fields in Elasticsearch, which is a common requirement when dealing...

In this article, we will discuss how to retrieve the last document in Elasticsearch. This can be useful in various scenarios...

There are several potential reasons for a slow query in Elasticsearch. Slow logs can be used to detect & troubleshoot slow queries issues...

This guide explains how to get the best out of terms aggregation for high-cardinality fields in Elasticsearch. Understanding how it works...

In Elasticsearch, the Terms enum API looks for similarities in the index based on partial matches. To use the terms_enum API...

In this article, we will delve into the scoring mechanism of Elasticsearch and explore the Explain API, which helps...

In this article, we will explore the concept of slop in Elasticsearch, its usage, and how to optimize its value for better search results.