IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Troubleshooting
editTroubleshooting
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
- Dense vectors are not searchable
- Embeddings must be generated using the inference processor with an ML node.
- Context length error
- You’ll need to adjust the size of the context you’re sending to the model. Refer to Optimize model context.
- LLM credentials not working
- Under Model settings, use the wrench button (🔧) to edit your GenAI connector settings.
- Poor answer quality
-
Check the retrieved documents to see if they are valid. Adjust your Elasticsearch queries to improve the relevance of the documents retrieved. Refer to View and modify queries.
You can update the initial instructions to be more detailed. This is called prompt engineering. Refer to this OpenAI guide for more information.
You might need to click ⟳ Clear chat to clear chat history and start a new conversation. If you mix topics, the model will find it harder to generate relevant responses.