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style: remove Defaults to None (#33404)

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Mason Daugherty
2025-10-09 17:27:35 -04:00
committed by GitHub
parent 6fc21afbc9
commit 5f9e3e33cd
48 changed files with 320 additions and 320 deletions
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2
libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py
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@@ -40,7 +40,7 @@ class FastEmbedSparse(SparseEmbeddings):
If `0`, use all available cores.\
If `None`, don't use data-parallel processing,\
use default onnxruntime threading instead.\
Defaults to `None`.
kwargs: Additional options to pass to fastembed.SparseTextEmbedding
Raises:
ValueError: If the model_name is not supported in SparseTextEmbedding.

28
libs/partners/qdrant/langchain_qdrant/vectorstores.py
View File

@@ -238,7 +238,7 @@ class Qdrant(VectorStore):
Args:
query: Text to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
offset:
Offset of the first result to return.
@@ -293,7 +293,7 @@ class Qdrant(VectorStore):
Args:
query: Text to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
**kwargs: Additional keyword arguments.
Returns:
@@ -319,7 +319,7 @@ class Qdrant(VectorStore):
Args:
query: Text to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
offset:
Offset of the first result to return.
@@ -377,7 +377,7 @@ class Qdrant(VectorStore):
Args:
query: Text to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
offset:
Offset of the first result to return.
@@ -436,7 +436,7 @@ class Qdrant(VectorStore):
Args:
embedding: Embedding vector to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
offset:
Offset of the first result to return.
@@ -495,7 +495,7 @@ class Qdrant(VectorStore):
Args:
embedding: Embedding vector to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
offset:
Offset of the first result to return.
@@ -554,7 +554,7 @@ class Qdrant(VectorStore):
Args:
embedding: Embedding vector to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
offset:
Offset of the first result to return.
@@ -643,7 +643,7 @@ class Qdrant(VectorStore):
Args:
embedding: Embedding vector to look up documents similar to.
k: Number of Documents to return. Defaults to 4.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
offset:
Offset of the first result to return.
@@ -745,7 +745,7 @@ class Qdrant(VectorStore):
lambda_mult: Number between 0 and 1 that determines the degree
of diversity among the results with 0 corresponding to maximum diversity
and 1 to minimum diversity.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
score_threshold:
Define a minimal score threshold for the result.
@@ -810,7 +810,7 @@ class Qdrant(VectorStore):
of diversity among the results with 0 corresponding
to maximum diversity and 1 to minimum diversity.
Defaults to 0.5.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
score_threshold:
Define a minimal score threshold for the result.
@@ -875,7 +875,7 @@ class Qdrant(VectorStore):
of diversity among the results with 0 corresponding
to maximum diversity and 1 to minimum diversity.
Defaults to 0.5.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
score_threshold:
Define a minimal score threshold for the result.
@@ -940,7 +940,7 @@ class Qdrant(VectorStore):
of diversity among the results with 0 corresponding
to maximum diversity and 1 to minimum diversity.
Defaults to 0.5.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
score_threshold:
Define a minimal score threshold for the result.
@@ -1007,7 +1007,7 @@ class Qdrant(VectorStore):
of diversity among the results with 0 corresponding
to maximum diversity and 1 to minimum diversity.
Defaults to 0.5.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params
score_threshold:
Define a minimal score threshold for the result.
@@ -1099,7 +1099,7 @@ class Qdrant(VectorStore):
of diversity among the results with 0 corresponding
to maximum diversity and 1 to minimum diversity.
Defaults to 0.5.
filter: Filter by metadata. Defaults to `None`.
filter: Filter by metadata.
search_params: Additional search params.
score_threshold: Define a minimal score threshold for the result.
consistency: Read consistency of the search.