@anyaso Hot off the pixel press, in this week's edition you'll find some tweaks to our famed #procedure model, more ways in which an MP might cease to be an MP, some roughly #Hansard shaped modelling, minor progress on new old parliamentary search, utter bewilderment on the subject of upgrading #Solr. And a trip to a petting zoo.

#Postgres Full Text Search is better than... In which I show how #ElasticSearch, #Solr or another search specific database is probably unnecessary for a lot of #PostgreSQL users

https://admcpr.com/postgres-full-text-search-is-better-than-part1/

#FullTextSearch #FTS

I have gotten a considerable amount of value out of #Solr but I really wish they'd gone further on the JSON query API. So much code is just related to making the ad hoc syntax safe for all types of data.

Elasticsearchで一覧検索と分類ごとの件数取得を効率的にする方法
https://qiita.com/tanaka_kentaro/items/3957a5a3092e99206c82?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
#Solr #Elasticsearch #全文検索 #検索エンジン #OpenSearch

検索システムってなに？と母に聞かれたあなたへ
https://qiita.com/k_yamaki/items/2bd2284a2ddee542ad4d?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
#Solr #Elasticsearch #全文検索 #検索エンジン

Philosophical #SitecoreLunch today! Discussed:

🧑‍✈️ #GitHubCopilot
⚖️ Cunningham's Law
🚋 The trolley problem
☀️ #OpenJDK for #Solr
🧠 #SUGCONEU takeaways
💬 Conversational #ChatGPT
👨 Mansplaining as a service
🤖 Automated code generation
🏫 #ChatGPT and homeschooling
💃 Stream APIs with #SitecoreCDP
🙂 @shanselman's #SUGCONEU keynote

See you same time next week! 🥪🥗

Shout out to the Code Journeymen team to get on board with @drupalasheville as Breakfast Sponsor!🍽️
Experts in #Drupal, #Solr Search, and #DataMigration, the Code Journeymen team is a proud organizer and sponsor of the annual @DrupalNooga.

2/ targeted towards a more general audience. Thakare/Laddha/Pawar's Hybrid Intelligent Systems for Information Retrieval looks like a possibility...

Also open to books that approach from a specific #search implementation perspective, e.g. #Elasticsearch, #Solr, #Lucene...but most appear to be older / specific subtopic focused.

Been spending some time with #guix, trying to package some #golang programs.

First off: Guix is amazing. The ideas, the features, the parens. Much love since I first saw @civodul talk at #fosdem some time in the past decade.

Second: packaging is absurd, holy hell! Started out trying to make a Guix package definition for Apache #solr (jumping into the deep end straight away), and left that alone after the Java project demanded that #perl and #python be installed (alright, not too bad), and continued to pull down #gradle and #nodejs, along with #npm packages. So many entry points for #supplychainattack!

DB-Engines Ranking climbers of the month:
1. #Oracle
2. #MongoDB
3. #Solr
https://db-engines.com/en/ranking

Get the Most Out of Apache Solr: A Technical Exploration of Search Indexing via Specbee.
https://www.specbee.com/blogs/apache-solr-technical-exploration-of-search-indexing #Solr

Plus, we'll finally be able to leverage some of the cool features of the Solr-wrapper software package that we purchased 3 years ago. :bec_grin:

On a related note, anybody within the sound of my voice use #Lucidworks #Fusion to manage your #solr search engine?

Shameless plug for my Solr for newbies tutorial.

If you are coming to #code4lib in March, come and learn about #Solr and play with it: https://2023.code4lib.org/workshops/solr-for-newbies

The materials that we will use during the workshop are freely available here: https://github.com/hectorcorrea/solr-for-newbies

I’ve stuck around here long enough that I think it’s time for an #introduction !

I’ve been a software developer in #Toronto for just over a year, and I work primarily with #Java, #SpringBoot, #Kafka, and #Solr.

I have a lot of hobbies too (gotta cycle thru them to keep things fresh), but right now I’m very into rollerskating, learning Dutch, repairing my clothes, and reading!

An #introduction to OpenSource Connections- we're a group of specialists in #opensource search engines such as #lucene, #Solr, #Elasticsearch & #OpenSearch based across the US, UK and EU. We're known for the Manning book 'Relevant Search', the Haystack conference series and the 3000+ person Relevance Slack. Our mission is to Empower Search Teams to build more accurate & relevant search engines using data-driven, repeatable, hypothesis-based processes & techniques. We help make search better!

An #introduction to OpenSource Connections- we're a group of specialists in #opensource search engines such as #lucene, #Solr, #Elasticsearch & #OpenSearch based across the US, UK and EU. We're known for the Manning book 'Relevant Search', the Haystack conference series and the 3000+ person Relevance Slack. Our mission is to Empower Search Teams to build more accurate & relevant search engines using data-driven, repeatable, hypothesis-based processes & techniques. We help make search better!

A quick introduction to OpenSource Connections- we're a group of specialists in #opensource search engines such as #lucene, #Solr, #Elasticsearch & #OpenSearch based across the US, UK and EU. We're known for the Manning book 'Relevant Search', the Haystack conference series and the 3000+ person Relevance Slack. Our mission is to Empower Search Teams to build more accurate & relevant search engines using data-driven, repeatable, hypothesis-based processes & techniques. We help make search better!

So here's my #introduction - I work for OpenSource Connections (OSC) @o19s, we offer consulting on #opensource search engines - #Lucene, #Solr, #Elasticsearch and now #OpenSource in the domain of Search Relevance - basically we help companies using these engines deliver the right results to their users. I'm currently heading up Marketing for OSC but I also help with sales, run our Haystack conference series, write, blog and present talks on search and run some customer projects.

@Josh412 I think so. 🙂 There are some great open source search engines out there already like #lucene (on which both #elasticsearch and #solr are built). I'm particularly interested in improving web search, while the number of contenders has increased, imho, they are all essentially competing on the same ML basis and thus can't be truly disruptive. I'd like to see a ML engine with human augmentation. This has been attempted several times before (Blekko, Wikia Search, Zakta, etc.)...

On the other end of the spectrum we could set up like this, with everything in separate boxes:

1. #CloudArmor as a WAF
2. A #CDN
3. #nginx as a reverse proxy.
4. #Vertx as an HTTP server.
5. #Memcached for caching
6. #RabbitMQ as a queue system.
7. Vertx EventBus as a controller.
8. Verticles as processors, run on a cluster.
9. #PSQL for a database and post store
10. #GCS for media storage and backups.
11. #Solr for search.
12. #ZooKeeper for coordination of Solr an Vertx.

4/