ElasticSearch

Name: ElasticSearch
Rating: 5.0 (25 reviews)

Lucene based search server.

5.0•25 reviews•

53 followers

Lucene based search server.

5.0•25 reviews•

53 followers

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•

Databases and backend frameworks

This is the 4th launch from ElasticSearch. View more

best way to elastic search in cloud

elastic search, elastic cloud

Best way to try elastic search in cloud

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Launch tags:Tech

Launch Team

Vy - Cross platform AI agent — AI agent that uses your computer, cross platform, no APIs

AI agent that uses your computer, cross platform, no APIs

Promoted

Hunter

very useful tool

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5yr ago

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ElasticSearch Launches

best way to elastic search in cloud elastic search, elastic cloud

Launched on June 8th, 2020

Kibana by Elastic Visualize your data

Launched on August 8th, 2016

Elasticsearch Open Source Distributed RESTful Search Engine

Launched on April 29th, 2016

View all ElasticSearch launches

Do you use ElasticSearch?

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5.0

Based on 25 reviews

Review ElasticSearch?

Reviewers highlight ElasticSearch for speed, flexibility, and broad integration. Maker feedback stands out: makers of

Playbook

say it reliably powers their search; makers of

Gan.AI

praise its analytics and logs for debugging; makers of

fn7 Helix

value having vector and traditional search in one system. Other makers note strong scalability, hybrid/vector support, and dependable community backing. Users find it easy to use with wide features and helpful for search, though general comments are brief. Overall sentiment is strongly positive.

+12

Summarized with AI

Pros

fast and flexible search capabilities (3)

AI integration (2)

detailed analytics and logs (2)

error tracking and debugging (2)

Pros

Cons

Reviews

All Reviews

Most Informative

used this to build Super

Super

(474 points)

•8 reviews

Elasticsearch serves as the backbone of Super's search capabilities, enabling fast and accurate retrieval of information across diverse data sources. Its flexibility allows us to handle complex queries generated by our AI system, while providing robust analytics on usage patterns. The graph-based architecture we built integrates Elasticsearch queries with LLM prompts, creating a powerful system that can search, analyze, and synthesize information. Elasticsearch's scalability and customization options have been crucial for local development, error handling, and continuous improvement of Super's performance. Simply put, Elasticsearch's speed and adaptability made it the ideal foundation for building Super's advanced knowledge retrieval system.

What's great

customization options (1)AI integration (2)scalability (1)fast and flexible search capabilities (3)complex queries handling (1)data analysis features (1)

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1 view8mo ago

used this to build

Wander

(163 points)

•4 reviews

One of our key challenges was identifying duplicate events, and Elasticsearch proved to be the ideal solution for this task. We also leveraged it for our search bar functionality and some recommendation features. While we considered Algolia as an alternative, Elasticsearch offered better scalability for our needs.

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1 view12mo ago

used this to build RunLLM

RunLLM

(282 points)

•15 reviews

Still the best all-purpose search engine when speed, flexibility, and integration matter. We use it heavily for vector + hybrid search. Scales better than most, works great with embeddings.

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1 view6mo ago

ElasticSearch

Lucene based search server.

Lucene based search server.

best way to elastic search in cloud

Have a question about ElasticSearch? Ask it here and get a real answer.

ElasticSearch Launches

Do you use ElasticSearch?

Engineering & Development

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Engineering & Development

LLMs

Productivity

Marketing & Sales

Design & Creative

Social & Community

Finance

AI Agents

Trending categories

Top reviewed

Trending products

Top forum threads

Have a question about ElasticSearch? Ask it here and get a real answer.

ElasticSearch Launches

Do you use ElasticSearch?

What's great

What's great