Appendix - Known issues
Text embedding failure
EXT:solr 13.1 introduced an initial vector search option, but further improvements and features are planned and in progress.
A weak point of the vector search feature is the error handling, if the required llm is not defined or the embedding fails, indexing and/or search will be impaired.
Indexing
If the vectors couldn't be calculated during indexing, the index process won't fail, but the documents will miss the vectors and cannot be found.
Solr status is fine, but the Text reports "Could not vectorise".
Search
The search term has also to be vectorized to perform a search in the frontend, missing or unavailable large language models will currently lead to a Solr.
Apache Solr returns HTTP status 500 and details about the exception are available, but differ depending on the model used.