Improve readme

.env

@@ -1,20 +1,12 @@
-# Password for the 'elastic' user (at least 6 characters)
-ELASTIC_PASSWORD=ElasticRocks
-
-# Password for the 'kibana_system' user (at least 6 characters)
-KIBANA_PASSWORD=KibanaRocks
+# Password for the 'admin' user (at least 6 characters)
+# OPENSEARCH_PASSWORD=OpenSearchRocks
+OPENSEARCH_PASSWORD=admin
 
 # Set the cluster name
-CLUSTER_NAME=elasticsearch-cluster
-
-# Set to 'basic' or 'trial' to automatically start the 30-day trial
-LICENSE=basic
-
-# Port to expose Elasticsearch HTTP API to the host
-ES_PORT=9200
+CLUSTER_NAME=opensearch-cluster
 
-# Port to expose Kibana to the host
-KIBANA_PORT=5601
+# Port to expose OpenSearch HTTP API to the host
+OS_PORT=9200
 
 # Increase or decrease based on the available host memory (in bytes)
 MEM_LIMIT=1073741824

.gitignore

@@ -3,5 +3,5 @@ transformed_data.json
 icecat-products-w_price-19k-20201127.tar.gz
 icecat-products-w_price-19k-20201127.json
 *.bu
-rre/target
 *.DS_Store
+opensearch/data

README.md

@@ -16,31 +16,23 @@ Chorus makes deploying powerful ecommerce search easier by shifting the **buy vs
 
 3. ***Sharing Knowledge is a Must!*** It isn't enough to just have conference talks. We need code and data samples in order to share knowledge about improving ecommerce search. Chorus is a public environment that you can use to profit from the community and also to share your next great idea!
 
-This is the project that enables Chorus to use Elasticsearch as the search engine. For those interested in the Solr version of this stack: You can visit the [Solr version of Chorus](https://github.com/querqy/chorus)
+This is the project that enables Chorus to use OpenSearch as the search engine. For those interested in the Solr version of this stack: You can visit the [Solr version of Chorus](https://github.com/querqy/chorus)
 
 Want to stay up-to-date with the community? Visit https://querqy.org/ to learn more, and join the [E-Commerce Search Slack](https://ecom-search.slack.com/) group for tips, tricks, help and news on what's new in the Chorus ecosystem.
 
 ## News
 
-* 23 February 2023: [Revolutionizing E-commere Search with Vectors](https://opensourceconnections.com/blog/2023/03/15/revolutionizing-e-commerce-search-with-vectors/) - Vector search is added to Chorus.
-* 23 March 2022: [Chorus, now also for Elasticsearch!](https://opensourceconnections.com/blog/2022/03/23/chorus-now-also-for-elasticsearch/) - Chorus is now available for Elasticsearch.
-* 17th June 2021: [Encores? - Going beyond matching and ranking of search results](https://www.slideshare.net/o19s/encores) - Chorus is used at BerlinBuzzwords.
-* 15th November 2020: [Chorus Workshop Series Announced](https://plainschwarz.com/ps-salon/) - Learn from the creators of the components of Chorus via six workshops.
-* 17th October 2020: [Chorus featured at ApacheCon @Home](https://www.youtube.com/watch?v=NGtmSbOoFjA) - René and Eric give a talk at ApacheCon on Chorus.
-* 10th June 2020: [Chorus Announced at BerlinBuzzwords](https://2020.berlinbuzzwords.de/session/towards-open-source-tool-stack-e-commerce-search) - First release of Chorus shared with the world at a workshop.
-* April 2020: [Paul Maria Bartusch](https://twitter.com/paulbartusch), [René Kriegler](https://twitter.com/renekrie), [Johannes Peter](https://github.com/JohannesDaniel) & [Eric Pugh](https://twitter.com/dep4b) brainstorm challenges with search teams adopting technologies like Querqy and come up with the Chorus idea.
+* September 2023: First release of Chorus for OpenSearch for OpenSearchCon.
 
 # What Runs Where
 
-* The UI (Reactivesearch) runs at http://localhost:4000  |  http://chorus-es-edition.dev.o19s.com:4000
-* Elasticsearch runs at http://localhost:9200  |  http://chorus-es-edition.dev.o19s.com:9200
-* Kibana runs at http://localhost:5601  |  http://chorus-es-edition.dev.o19s.com:5601
-* SMUI runs at http://localhost:9000  |  http://chorus-es-edition.dev.o19s.com:9000
-* Quepid runs at http://localhost:3000  |  http://chorus-es-edition.dev.o19s.com:3000
-* The embedding service runs at http://localhost:8000 |  http://chorus-es-edition.dev.o19s.com:8000
-* Keycloak runs at http://keycloak:9080 |  http://chorus-es-edition.dev.o19s.com:9080
-* Prometheus runs at http://localhost:9090  |  http://chorus-es-edition.dev.o19s.com:9090
-* Grafana runs at http://localhost:9091  |  http://chorus-es-edition.dev.o19s.com:9091
+* The UI (Reactivesearch) runs at http://localhost:4000  |  http://chorus-os-edition.dev.o19s.com:4000
+* OpenSearch runs at http://localhost:9200  |  http://chorus-os-edition.dev.o19s.com:9200
+* OpenSearch Dashboard runs at http://localhost:5601  |  http://chorus-os-edition.dev.o19s.com:5601
+* SMUI runs at http://localhost:9000  |  http://chorus-os-edition.dev.o19s.com:9000
+* Quepid runs at http://localhost:3000  |  http://chorus-os-edition.dev.o19s.com:3000
+* The embedding service runs at http://localhost:8000 |  http://chorus-os-edition.dev.o19s.com:8000
+* Keycloak runs at http://keycloak:9080 |  http://chorus-os-edition.dev.o19s.com:9080
 
 Working with macOS? Pop open all the tuning related web pages with one terminal command:
 > open http://localhost:4000 http://localhost:9200 http://localhost:5601 http://localhost:9000 http://localhost:3000
@@ -53,7 +45,7 @@ If you are impatient, we provide a quick start script, `./quickstart.sh` that se
 
 After setting up Chorus you can check out [Kata 1: Lets Optimize a Query](katas/001_optimize_a_query.md) for an introduction to the world of active search management.
 
-[More Katas can be found in the Solr version of Chorus](https://github.com/querqy/chorus#structured-learning-using-chorus) and many can be transferred to this Elasticsearch based stack. Some are also covered in a video series called [Meet Pete](https://opensourceconnections.com/blog/2020/07/07/meet-pete-the-e-commerce-search-product-manager/). Feel free to open PRs to add Katas you find useful or open issues if you want to see specific Katas included. Every contribution is welcome! 
+[More Katas can be found in the Solr version of Chorus](https://github.com/querqy/chorus#structured-learning-using-chorus) and many can be transferred to this OpenSearch based stack. Some are also covered in a video series called [Meet Pete](https://opensourceconnections.com/blog/2020/07/07/meet-pete-the-e-commerce-search-product-manager/). Feel free to open PRs to add Katas you find useful or open issues if you want to see specific Katas included. Every contribution is welcome! 
 
 # Useful Commands for Chorus
 
@@ -63,7 +55,7 @@ To start your environment, but still run each command to set up the integrations
 docker-compose up --build -d
 ```
 
-The quickstart script will launch Elasticsearch, download and index the sample product data for the _ecommerce_ index:
+The quickstart script will launch OpenSearch, download and index the sample product data for the _ecommerce_ index:
 
 ```
 ./quickstart.sh
@@ -97,7 +89,7 @@ If you want to see the logs of just one component of the Chorus stack, use:
 
 ```
 docker-compose ps                       # list out the names of the components
-docker-compose logs -tf elasticsearch   # tail elasticsearch only
+docker-compose logs -tf opensearch      # tail OpenSearch only
 ```
 
 To stop all containers, you can run:
@@ -140,7 +132,6 @@ The version of the Icecat product data that Chorus [provides](https://querqy.org
 
 # Known Issues
 
-1. SMUI stands for \'search management UI\'. It is designed to work with Solr. We provided some scripts for basic functionality with Elasticsearch but there are still limitations. You get a feeling what's currently possible by going through [Kata 1: Optimize a Query](katas/001_optimize_a_query.md).
-2. RRE: The technical integration is able to run queries and get the correct results from Elasticsearch, but apparently it computes the search metrics incorrectly.
+1. SMUI stands for \'search management UI\'. It is designed to work with Solr. We provided some scripts for basic functionality with OpenSearch but there are still limitations. You get a feeling what's currently possible by going through [Kata 1: Optimize a Query](katas/001_optimize_a_query.md).
 
-Of course, contributions are very welcome to improve Chorus - The Elasticsearch Edition!
+Of course, contributions are very welcome to improve Chorus - The OpenSearch Edition!