Elasticsearch is an open source distributed, RESTful search and analytics engine, scalable data store, and vector database capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning-fast search, fine‑tuned relevancy, and powerful analytics that scale with ease.

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Elasticsearch — это распределенная поисковая и аналитическая система RESTful с открытым исходным кодом, масштабируемое хранилище данных и векторная база данных, способная удовлетворить растущее число вариантов использования. Являясь сердцем Elastic Stack, он централизованно хранит ваши данные для молниеносного поиска, точной настройки релевантности и мощной аналитики, которая легко масштабируется.

Dive deeper into the new Elasticsearch Relevance Engine
The Elasticsearch Relevance Engine™ is designed to power artificial intelligence-based search applications. Use the relevance engine to apply semantic search with superior relevance out of the box (without domain adaptation), integrate with external large language models (LLMs), implement hybrid search, and use third-party or your own transformer models.

Search your way
Elasticsearch lets you perform and combine many types of searches — structured, unstructured, geo, metric, and from a piped query language. Start simple with one question and see where it takes you.

Store and analyze at scale
It's one thing to find the 10 best documents to match your query. But how do you make sense of, say, a billion log lines? Elasticsearch aggregations let you zoom out to explore trends and patterns in your data.

Rapid results
When you get answers instantly, your relationship with your data changes. You can afford to iterate and cover more ground.

Powerful design
Being this fast isn't easy. We've implemented inverted indices with finite state transducers for full-text querying, BKD trees for storing numeric and geo data, and a column store for analytics.

All-inclusive
And since everything is indexed, you're never left with index envy. You can leverage and access all of your data at ludicrously awesome speeds.

100s of TBs of logs? No problem. Billions of vectors? Of course.
Go from prototype to production seamlessly; you talk to Elasticsearch running on a single node the same way you would in a 300-node cluster. It scales horizontally to handle kajillions of events per second, while automatically managing how indices and queries are distributed across the cluster for oh-so-smooth operations.

We cover the bases while you swing for the fences
Hardware rebels. Networks partition. Elasticsearch detects failures to keep your cluster (and your data) safe and available. With cross-cluster replication, a secondary cluster can spring into action as a hot backup. Elasticsearch operates in a distributed environment designed from the ground up for perpetual peace of mind.

Store and explore data to fit your needs
Data is constantly evolving, and it can become expensive to store and search all of it. With Elasticsearch you can balance performance and cost. Store data locally for fast queries or remotely on low-cost S3 for unlimited data. With runtime fields, you can also quickly onboard your data — and adapt to changes.

Home Page - https://www.elastic.co/elasticsearch

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Elasticsearch.Enterprise.v8.17.1.x64.Incl.Keygen.and.Patch-BTCR

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Elasticsearch.Enterprise.v8.17.1.MacOS.arm64.Incl.Keygen.and.Patch-BTCR

Elasticsearch.Enterprise.v8.17.1.Linux.x64.Incl.Keygen.and.Patch-BTCR

Elasticsearch.Enterprise.v8.17.1.Linux.arm64.Incl.Keygen.and.Patch-BTCR