mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-10-28 08:18:52 +00:00
a9a379784a
* Filtering records not having embeddings * Added support for skip_missing_embeddings Flag. Default behavior is throw error when embeddings are missing. If skip_missing_embeddings=True then documents without embeddings are ignored for vector similarity * Fix for below error: haystack/document_stores/elasticsearch.py:852: error: Need type annotation for "script_score_query" * docstring for skip_missing_embeddings parameter * Raise exception where no documents with embeddings is found for Embedding retriever. * Default skip_missing_embeddings to True * Explicitly check if embeddings are present if no results are returned by EmbeddingRetriever for Elasticsearch * Added test case for based on Julian's input * Added test case for based on Julian's input. Fix pytest error on the testcase * Added test case for based on Julian's input. Fix pytest error on the testcase * Added test case for based on Julian's input. Fix pytest error on the testcase * Simplify code by using get_embed_count * Adjust docstring & error msg slightly * Revert error msg Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>