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3645181d0e
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> |
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| .. | ||
| __init__.py | ||
| _utils.py | ||
| fastembed_sparse.py | ||
| py.typed | ||
| qdrant.py | ||
| sparse_embeddings.py | ||
| vectorstores.py | ||