alessandrobenedetti opened a new pull request, #2809:
URL: https://github.com/apache/solr/pull/2809

   https://issues.apache.org/jira/browse/SOLR-17525
   
   
   
   # Description
   Scope of this issue is to integrate a new module able to use LLM  (through 
managed services) to enhance aspect of Apache Solr.
   Specifically this first Pull Request relates to handle embedding models and 
automatic text vectorisation in Solr.
   
   # Solution
   The functionality has been introduced through LangChain4J 
(https://docs.langchain4j.dev).
   The are several aspects I would like feedback on:
   
   - I used inversion of control to integrate support for multiple embedding 
models with minimal impact on the code. It works and it's decently clean, but I 
would love your feedback on this
   - Embedding models are accessed through client APIS and http requests are 
made to embed text using external services.
   To do that I added security exceptions in both  X and Y.
   It works but I have no idea if it's acceptable or the best way to do it
   
   # Tests
   
   - model storage tests added
   - query parsing tests added
   
   # Checklist
   
   Please review the following and check all that apply:
   
   - [ ] I have reviewed the guidelines for [How to 
Contribute](https://github.com/apache/solr/blob/main/CONTRIBUTING.md) and my 
code conforms to the standards described there to the best of my ability.
   - [ ] I have created a Jira issue and added the issue ID to my pull request 
title.
   - [ ] I have given Solr maintainers 
[access](https://help.github.com/en/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork)
 to contribute to my PR branch. (optional but recommended, not available for 
branches on forks living under an organisation)
   - [ ] I have developed this patch against the `main` branch.
   - [ ] I have run `./gradlew check`.
   - [ ] I have added tests for my changes.
   - [ ] I have added documentation for the [Reference 
Guide](https://github.com/apache/solr/tree/main/solr/solr-ref-guide)
   


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