Merge branch 'main' into notebook-readmes

Author: leemthompo

docs/CONTRIBUTING.md renamed to CONTRIBUTING.md

@@ -3,7 +3,7 @@
 This repository contains executable Python notebooks, sample apps, and resources for testing out the Elastic platform:
 
 - Learn how to use Elasticsearch as a vector database to store embeddings, power hybrid and semantic search experiences, and more.
-- Test Elastic's leading-edge, out-of-the-box capabilities like the [Elastic Learned Sparse Encoder](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html) and [reciprocal rank fusion (RRF)](https://www.elastic.co/blog/whats-new-elastic-enterprise-search-8-9-0#hybrid-search-with-reciprocal-rank-fusion-(rrf)-combines-multiple-search-techniques-for-better-results), which produce best-in-class results without training or tuning.
+- Test Elastic's leading-edge, out-of-the-box capabilities like the [Elastic Learned Sparse Encoder](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html) and [reciprocal rank fusion (RRF)](<https://www.elastic.co/blog/whats-new-elastic-enterprise-search-8-9-0#hybrid-search-with-reciprocal-rank-fusion-(rrf)-combines-multiple-search-techniques-for-better-results>), which produce best-in-class results without training or tuning.
 - Integrate with projects like OpenAI, Hugging Face, and LangChain to use Elasticsearch as the backbone of your LLM-powered applications. For use cases like retrieval augmented generation (RAG), summarization, and question answering (QA).
 
 # Python notebooks 📒
@@ -16,11 +16,24 @@ The [`example-apps`](example-apps/README.md) folder contains example apps that d
 
 # Contributing 🎁
 
-See [contributing guidelines](docs/CONTRIBUTING.md).
+See [contributing guidelines](CONTRIBUTING.md).
 
 # Support 🛟
 
-Learn how to [get Support](docs/SUPPORT.md).
+The Search team at Elastic maintains this repository and is happy to help.
+
+### Official Support Services
+
+If you have an Elastic subscription, you are entitled to Support services for your Elasticsearch deployment. See our welcome page for [working with our support team](https://www.elastic.co/support/welcome).
+These services do not apply to the sample application code contained in this repository.
+
+### Discuss Forum
+
+Try posting your question to the [Elastic discuss forums](https://discuss.elastic.co/) and tag it with [#esre-elasticsearch-relevance-engine](https://discuss.elastic.co/tag/esre-elasticsearch-relevance-engine)
+
+### Elastic Slack
+
+You can also find us in the [#search-esre-relevance-engine](https://elasticstack.slack.com/archives/C05CED61S9J) channel of the [Elastic Community Slack](http://elasticstack.slack.com)
 
 # License ⚖️
 

README.md

@@ -8,13 +8,11 @@ Use these apps as a starting point for your own projects.
 
 ## Apps
 
-- [ElasticDocs GPT](./ElasticDocs_GPT/README.md). Combine Elasticsearch with the question answering power of ChatGPT. Use the ChatGPT API with your own UI.
-- [ElasticGPT plugin](./ElasticGPT_Plugin/README.md). Implement a ChatGPT plugin and extend ChatGPT usage to any content indexed into Elasticsearch. This enables you to use the ChatGPT UI.
 - [OpenAI embeddings](./OpenAI-embeddings/README.md). Use OpenAI embeddings at index time and in Elastic kNN queries. Available in [JavaScript](./OpenAI-embeddings/OpenAI-JS/README.md) and [Python](./OpenAI-embeddings/OpenAI-Py/README.md) versions.
 - [Workplace search](./Workplace-Search/README.md). Build a semantic search experience for organizational/workplace data.
 - [relevance-workbench](./relevance-workbench/README.md). A Python application that allows you to compare results ranking between the **Elastic Learned Sparse Encoder** model and BM25.
 
 
 > ℹ️ **Note**:
 > _Elastic Labs projects are for illustrative and experimental purposes only. Elastic Labs projects are not part of any product or services offering provided or supported under a commercial license or subscription. These projects are made available as-is under the terms of the license associated with the projects._
-> _The release and timing of any features or functionality described in these projects remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all._
+> _The release and timing of any features or functionality described in these projects remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all._