Ash Vardanian d01bad5169 core[patch]: Convert SimSIMD back to NumPy (#19473) ... This patch fixes the #18022 issue, converting the SimSIMD internal zero-copy outputs to NumPy. I've also noticed, that oftentimes `dtype=np.float32` conversion is used before passing to SimSIMD. Which numeric types do LangChain users generally care about? We support `float64`, `float32`, `float16`, and `int8` for cosine distances and `float16` seems reasonable for practically any kind of embeddings and any modern piece of hardware, so we can change that part as well 🤗		2024-03-25 16:36:26 -07:00
..
__init__.py	elasticsearch[patch]: add top-level import, remove obsolete dependency (#18644)	2024-03-07 19:38:31 -08:00
_utilities.py	core[patch]: Convert SimSIMD back to NumPy (#19473)	2024-03-25 16:36:26 -07:00
chat_history.py
client.py
embeddings.py
py.typed
retrievers.py	docs: elasticsearch retriever (#18965)	2024-03-12 09:42:36 -07:00
vectorstores.py	elasticsearch: check for deployed models (#18973)	2024-03-18 21:32:00 -07:00