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pinecone: Fix multiprocessing issue in PineconeVectorStore #22571
Merged
efriis
merged 8 commits into
langchain-ai:master
from
Vwake04:fix/pinecone-vectorstore-multiprocessing
Jun 21, 2024
Merged
pinecone: Fix multiprocessing issue in PineconeVectorStore #22571
efriis
merged 8 commits into
langchain-ai:master
from
Vwake04:fix/pinecone-vectorstore-multiprocessing
Jun 21, 2024
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efriis
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Jun 6, 2024
@efriis could you please review this? |
@efriis any updates on this? |
Hey @efriis could you please review this PR and make the necessary approvals? |
@efriis could you please review the changes and update the PR? |
@efriis could you please have a look at this PR? |
@efriis Any updates on this? |
efriis
approved these changes
Jun 21, 2024
…store-multiprocessing
Thanks 🙏 @efriis |
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Labels
🤖:bug
Related to a bug, vulnerability, unexpected error with an existing feature
lgtm
PR looks good. Use to confirm that a PR is ready for merging.
partner
🔌: pinecone
Primarily related to Pinecone vector store integration
size:M
This PR changes 30-99 lines, ignoring generated files.
Ɑ: vector store
Related to vector store module
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Description:
Currently, the
langchain_pinecone
library forces theasync_req
(asynchronous required) argument to Pinecone toTrue
. This design choice causes problems when deploying to environments that do not support multiprocessing, such as AWS Lambda. In such environments, this restriction can prevent users from successfully usinglangchain_pinecone
.This PR introduces a change that allows users to specify whether they want to use asynchronous requests by passing the
async_req
parameter through**kwargs
. By doing so, users can setasync_req=False
to utilize synchronous processing, making the library compatible with AWS Lambda and other environments that do not support multithreading.Issue:
This PR does not address a specific issue number but aims to resolve compatibility issues with AWS Lambda by allowing synchronous processing.
Dependencies:
None, that I'm aware of.