There are already many project about search: - https://www.marginalia.nu/ - https://searchmysite.net/ - https://lucene.apache.org/ - elastic search - https://presearch.com/ - https://stract.com/ - https://wiby.me/ I think that all project are fun. I would like to see one succeeding at reaching mainstream level of attention. I have also been gathering links meta data for some time. Maybe I will use them to feed any... - Source: Hacker News / about 2 months ago
Elasticsearch is based on Lucene and is used by various companies and developers across the world to build custom search solutions. - Source: dev.to / 3 months ago
Elastic search is kinda heavyweight infra for a small project. Its built on top of apache lucene (https://lucene.apache.org), which you can use directly. Source: 10 months ago
Elasticsearch is based on Lucene, which is built in Java. This means that monitoring the Java Virtual Machine (JVM) memory is crucial to understand the current usage of the whole system. - Source: dev.to / 12 months ago
Apache Lucene which seems to have a lot more features than Elasticsearch. Source: about 1 year ago
Generally with term vectors and a tf-idf index. Lucene is a good starting place to help. Source: about 1 year ago
Try elasticsearch or solr, behind the scenes they both use https://lucene.apache.org/ if you don't want basically a full nosql database service, but I'd just slap solr up and call it a day. Source: about 1 year ago
OpenSearch is an open-source database to ingest, search, visualize, and analyze data. It’s built on top of Apache Lucerce, a FOSS library for indexing and search, which OpenSearch leverages for more advanced analytics capabilities, like anomaly detection, machine learning, full-text search, and more. - Source: dev.to / about 1 year ago
Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust). Source: over 1 year ago
Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. It is built on top of Apache Lucene. - Source: dev.to / over 1 year ago
We’re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: almost 2 years ago
Elasticsearch is the database and is based on Apache Lucene, which is a time-series database similar to InfluxDB. Logstash is the service that listens on selected ports, ingests data pipelines, processes the data (eg. Does geolocation or domain lookups of IP addresses), and writes the data to Elasticsearch. Kibana is equivalent to Grafana and manages visualizations (panels) and dashboards. Source: almost 2 years ago
Apache Lucene would give you the indexing functionality you're looking for. Source: about 2 years ago
Push the things you want to have in your full-text index into an open-source full-text solution, ie Apache Lucene. Source: about 2 years ago
In short, OpenSearch is an open source alternative to Elasticsearch. It is a search and analytics suite that includes a search engine daemon, OpenSearch, NoSQL database, and a visualization interface. It offers a distributed, full-text search engine based on Apache Lucene with a RESTful API interface and support for JSON documents. - Source: dev.to / over 2 years ago
This is kind of a personal implementation of enterprise search, so Apache Lucene or elasticsearch could do some of this, though that's a ton of development work and infrastructure just for me. I'm happy to do a bit of hacking/syncing, but building something from scratch is beyond my means at the moment. Source: over 2 years ago
To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. Have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text. Source: almost 3 years ago
Apache Lucene is a free and open-source search engine software library, originally written completely in Java. It is supported by the Apache Software Foundation and is released under the Apache Software License. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform. - Source: dev.to / almost 3 years ago
I’m not at all familiar with what’s going on underneath the hood with Brave, but there are open source search engines out there that they could be using, such as Apache Lucene, and ElasticSearch (though they changed their license recently and AWS made a fork they’re calling Open Search in response). I’m not an expert in this area, so if someone knows more they should feel free to elaborate. Source: almost 3 years ago
A technology that makes it easy to implement such features is Elasticsearch - a search and analytics engine built on top of Apache Lucene library. Elasticsearch has distributed, multi-tenant architecture with built-in routing and re-balancing, making it easy to scale. It's a widely used data store for storing, searching, and analyzing large volumes of data. - Source: dev.to / about 3 years ago
Alternatively, the Apache Lucene engine is a very good indexer and search engine, extremely fast and open-source, but a bit of effort to use. Source: about 3 years ago
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