ElasticSearch

Name: ElasticSearch
Rating: 4.89 (18 reviews)

Lucene based search server.

4.9•18 reviews•

49 followers

Lucene based search server.

4.9•18 reviews•

49 followers

Visit website

•

Databases and backend frameworks

4.9

Based on 18 reviews

Review ElasticSearch?

ElasticSearch is highly praised for its robust search capabilities and flexibility. Makers of Playbook highlight its infrastructure support for search, while Gan.AI appreciates its detailed analytics and error tracking. fn7 Helix values its combined vector database and search capabilities. Users find it easy to use with comprehensive features. Overall, ElasticSearch is recognized for its scalability, adaptability, and strong community support, making it a reliable choice for handling complex queries and large datasets.

+15

Summarized with AI

Pros

detailed analytics and logs (3)

error tracking and debugging (3)

fast and flexible search capabilities (3)

AI integration (2)

Pros

Cons

Reviews

All Reviews

Helpful

Vikram Sreekanti

used ElasticSearch to build RunLLM

RunLLM

(343 points)

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.

Report

16d ago

Christophe Pasquier

used ElasticSearch to build Super

Super

(375 points)

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.

Report

3mo ago