Drools VS Apache Solr

I've met a few young programmers who heard somewhere that object-oriented programming was bad and they want to get the enlightenment of functional programming that they've heard about. Frequently they travel from job to job like itinerant martial artists always looking for somewhere where they practice the true technique but they always seem disappointed as it is just as easy if not easier to screw up handling errors with monads than it is with exceptions and they find analogies like "a monad is like a burrito" just get them more confused.

As for something profound I'd point you to

https://github.com/cerner/clara-rules

which many people will struggle with because like many other production rules engines in LISP (and many other examples of simple compilers), there is hardly any code! Contrast that to the orders of magnitude larger rules engine Drools

https://github.com/kiegroup/drools

which is so crazy-complicated primarily because the Drools language is Java-based so you need all sorts of things that Clara or CLIPS don't need.

IMHO you're better off using something like https://www.drools.org/ for this. Non-devs writing code is a pipe-dream. It never works out.

https://www.drools.org/ an open source solution that allows you to use the UI to define rules. You can even import excel files.

Hi all, I am doing a project in rust right now (a web server with axum, postgres, redis), and am in need of a good rule engine like Drools in java (https://www.drools.org/). From what I have searched, I couldn't find any that are well maintained or provide similar levels of functionality.

Also ... https://www.drools.org/

Drools - Drools - Business Rules Management System (Java™, Open Source)

Drools (a Business Rule Engine),

Hopefully you already know that Drools is a business rules management system. You write rules in either "drl" syntax, in spreadsheets, or in glorified flowcharts, and then let your application throw data at it.

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 eventual self hosted search engine, or language model, if I decide to experiment with that.

- domains for seed https://github.com/rumca-js/Internet-Places-Database

- bookmarks seed https://github.com/rumca-js/RSS-Link-Database

- links for year https://github.com/rumca-js/RSS-Link-Database-2024

Elasticsearch is based on Lucene and is used by various companies and developers across the world to build custom search solutions.

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.

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.

Apache Lucene which seems to have a lot more features than Elasticsearch

Generally with term vectors and a tf-idf index. Lucene is a good starting place to help.

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.

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.

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).