Chaymae El Aattabi 4b08a7e8e8 Fix #29759: Use local chunk_size_ for looping in embed_documents (#29761) ... This fix ensures that the chunk size is correctly determined when processing text embeddings. Previously, the code did not properly handle cases where chunk_size was None, potentially leading to incorrect chunking behavior. Now, chunk_size_ is explicitly set to either the provided chunk_size or the default self.chunk_size, ensuring consistent chunking. This update improves reliability when processing large text inputs in batches and prevents unintended behavior when chunk_size is not specified. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>		2025-02-13 01:28:26 +00:00
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__init__.py	openai[minor]: implement langchain-openai package (#15503)	2024-01-05 15:03:28 -08:00
test_azure_embeddings.py	openai[patch]: Upgrade @root_validators in preparation for pydantic 2 migration (#25491)	2024-09-03 14:42:24 -07:00
test_azure_standard.py	standard-tests: rename langchain_standard_tests to langchain_tests, release 0.3.2 (#28203)	2024-11-18 19:10:39 -08:00
test_base_standard.py	standard-tests: rename langchain_standard_tests to langchain_tests, release 0.3.2 (#28203)	2024-11-18 19:10:39 -08:00
test_base.py	Fix #29759: Use local chunk_size_ for looping in embed_documents (#29761)	2025-02-13 01:28:26 +00:00
test_imports.py	openai[minor]: implement langchain-openai package (#15503)	2024-01-05 15:03:28 -08:00