langchain/libs/partners/pinecone/langchain_pinecone
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 pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 08:24:08 -08:00
_utilities.py core[patch]: Convert SimSIMD back to NumPy (#19473) 2024-03-25 16:36:26 -07:00
py.typed
vectorstores.py pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 08:24:08 -08:00