github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-09-28 06:48:50 +00:00
Code Issues Packages Projects Releases Wiki Activity

multiple: merge master into v0.3rc branch (#26163)

Browse Source 
Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
This commit is contained in:
Erick Friis
2024-09-06 13:42:29 -07:00
committed by GitHub
parent bccc546a25
commit b664b3364c
15 changed files with 1111 additions and 411 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
libs/community/langchain_community/vectorstores/docarray/in_memory.py
View File

@@ -59,9 +59,7 @@ class DocArrayInMemorySearch(DocArrayIndex):
embedding (Embeddings): Embedding function.
metadatas (Optional[List[Dict[Any, Any]]]): Metadata for each text
if it exists. Defaults to None.
metric (str): metric for exact nearest-neighbor search.
Can be one of: "cosine_sim", "euclidean_dist" and "sqeuclidean_dist".
Defaults to "cosine_sim".
**kwargs: Other keyword arguments to be passed to the from_params method.
Returns:
DocArrayInMemorySearch Vector Store