In Elasticsearch, when we index documents to an index, by default the source of the document is stored in meta field _source. When you search your index, you see a special field _source for each matched/hit product.| jdhao's digital space
I’ve had some interesting conversations over the last few months around the three big hitters of open source search: Solr, OpenSearch and Elasticsearch. Solr is the old dog in... The post Dogfights in Open Source Search: Solr, OpenSearch and Elasticsearch appeared first on OpenSource Connections.| OpenSource Connections
We are currently using AWS OpenSearch Service as a vector store for our RAG with AWS Bedrock Knowledge Base. We will talk more about RAG and Bedrock another time, but today let’s take a look at AWS OpenSearch Service. The task is to migrate our AWS OpenSearch Service Serverless to Managed, primarily due to… Read More » The post AWS: introduction to the OpenSearch Service as a vector store first appeared on RTFM: Linux, DevOps, and system administration.| RTFM: Linux, DevOps, and system administration
In the previous part, AWS: Getting Started with OpenSearch Service as a Vector Store, we looked at AWS OpenSearch Service in general, figured out how data is organized in it, what shards and nodes are, and what types of instances we actually need for data nodes. The next step is to create a cluster… Read More » The post AWS: creating an OpenSearch Service cluster and configuring authentication and authorization first appeared on RTFM: Linux, DevOps, and system administration.| RTFM: Linux, DevOps, and system administration
こんにちは。NewsPicksでエンジニアをやっております崔（チェ）です。現在は Data / Algorithm チームで検索エンジンの開発を担当しております。 弊社は、検索エンジンとしてElasticsearch（以下、ES）をAmazon EC2に乗せて構築しておりましたが、ヤクの毛刈りも含め、約1年かけてマネージドサービスであるAmazon OpenSearch Service（以下、OpenSearch）に移行することができました！今回...| Uzabase for Engineers
В попередній частині – AWS: знайомство з OpenSearch Service в ролі vector store – подивились на AWS OpenSearch Service взагалі, трохи розібрались з тим, як в ньому організовані дані, що таке shards та nodes, і які нам власне типи інстансів для data nodes треба. Наступний крок – створити кластер і подивитись н...| RTFM: Linux, DevOps та системне адміністрування
Знайомство з AWS OpenSearch Service в ролі vector store для AWS Bedrock Knowledge Base та планування ресурсів OpenSearch кластеру| RTFM: Linux, DevOps та системне адміністрування | De...
Today, PeerDB is pleased to announce that our target connector for Elasticsearch is now in beta. Elasticsearch is a popular search engine system underpinned by a distributed document database, and we have been seeing a lot of use cases for Elasticsea...| PeerDB Blog
I’ve begun to use the logstash/elasticsearch/kibana stack for processing many different types of logs, and an issue that has started […]| mcnewton's notes
In Elasticsearch, you can use wildcard in a lot of the index operations. This is very handy, but can be dangerous sometimes, e.g., when you use wildcards when deleting indexes. You may delete unintended indexes accidentally and cause serious interruptions to your business/work.| jdhao's digital space
The OpenSearch Software Foundation, part of the Linux Foundation, has released OpenSearch 3.0, with experimental GPU-accelerated vector indexing, […]| DEVCLASS
Follow us on Twitter @HackRead| Hackread - Latest Cybersecurity, Tech, AI, Crypto & Hacking News
Discover how Vespa outperforms Elasticsearch in query efficiency, scalability, and operational costs, making it a robust choice for modern eCommerce search solutions.| Vespa Blog
The exposed Elasticsearch server belongs to an Indian healthcare software company that has not secured the database despite being alerted.| Hackread - Latest Cybersecurity, Tech, Crypto & Hacking News
Elasticsearch is a search server based on Apache Lucene. As a developer it is easy to use, has an expressive query DSL and all is based on JSON serialization. Often though I find myself in a position where I need to adapt queries frequently and non-trivially, say in a demonstration in front of customers or product owners. The questions are mostly similar: “what if I also filter for X”, “how does the ranking change, when I add a freshness function”, “do I get a better result if I boo...| all things considered...
Discover Dremio Cloud and Power BI’s new Single Sign-On feature for improved user authentication and access control.| Dremio
Elasticsearch is a distributed search engine. One can store “documents” within “indices”, which are collections of documents. One common pattern for storing time based data is to use one index per day. E.g.: tweets-2017-01-01, tweets-2017-02-01 and so on. This makes having many indices decently common, and it also makes searching across many indices common in a single search. Elasticsearch has a query type called IndicesQuery, which lets you (among other things) optimise your query pa...| Accidentally Quadratic
I wrote a simple plugin for NZBGet that inserts download history into an ElasticSearch cluster (or node). It uses API calls rather than parsing filesystem logs. I wanted a quick way to just insert the data so I created this script. Simply copy the ESLog.py script into your NZBGet/scripts directory. In NZBGet, select settings and set the hostname of your ElasticSearch instance. You can download the plugin on github| Chris Bergerons Tech Blog
How to improve the performance of Jaeger when using Elasticsearch as the storage backend.| karlstoney.com
Dear TheHive and Cortex users, If you are running TheHive v3.5.0 and / or Cortex v3.1.0, the underlying database is Elasticsearch v7.x. Elastic recently released two new versions: v7.11.0 and v7.11…| TheHive Project
