Vincent Emonet 3645181d0e qdrant: Add similarity_search_with_score_by_vector() function to the QdrantVectorStore (#29641) ... Added `similarity_search_with_score_by_vector()` function to the `QdrantVectorStore` class. It is required when we want to query multiple time with the same embeddings. It was present in the now deprecated original `Qdrant` vectorstore implementation, but was absent from the new one. It is also implemented in a number of others `VectorStore` implementations I have added tests for this new function Note that I also argued in this discussion that it should be part of the general `VectorStore` https://github.com/langchain-ai/langchain/discussions/29638 Co-authored-by: Erick Friis <erick@langchain.dev>		2025-02-07 00:55:58 +00:00
..
async_api
fastembed	qdrant: new Qdrant implementation (#24164)	2024-07-12 04:52:02 +02:00
qdrant_vector_store	qdrant: Add similarity_search_with_score_by_vector() function to the QdrantVectorStore (#29641)	2025-02-07 00:55:58 +00:00
__init__.py
common.py	qdrant: test new QdrantVectorStore (#24165)	2024-07-12 23:59:30 +00:00
conftest.py	qdrant: test new QdrantVectorStore (#24165)	2024-07-12 23:59:30 +00:00
fixtures.py	qdrant: test new QdrantVectorStore (#24165)	2024-07-12 23:59:30 +00:00
test_add_texts.py
test_compile.py
test_embedding_interface.py
test_from_existing_collection.py
test_from_texts.py
test_max_marginal_relevance.py
test_similarity_search.py