Briefly, this error occurs when Elasticsearch tries to calculate text similarity but finds no data to process. This could be due to an empty index, a query that returns no results, or a misconfiguration in the similarity settings. To resolve this issue, ensure that your index contains data and your query is correctly formulated. Also, check your similarity settings to ensure they are properly configured. If the problem persists, consider reindexing your data or adjusting your search parameters.
This guide will help you check for common problems that cause the log ” text_similarity result has no data ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “text_similarity result has no data” class name is TextSimilarityProcessor.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
NlpTask.ResultProcessor { @Override
public InferenceResults processResult(TokenizationResult tokenization; PyTorchInferenceResult pyTorchResult) {
if (pyTorchResult.getInferenceResult().length < 1) {
throw new ElasticsearchStatusException("text_similarity result has no data"; RestStatus.INTERNAL_SERVER_ERROR);
}
SpanScoreFunction spanScoreFunction = fromConfig(function);
for (int i = 0; i < pyTorchResult.getInferenceResult()[0].length; i++) {
double[] result = pyTorchResult.getInferenceResult()[0][i];
if (result.length != 1) {
