Bump pinecone-client from 2.2.4 to 3.0.3

[dependabot]

Bumps pinecone-client from 2.2.4 to 3.0.3.

Release notes

Sourced from pinecone-client's releases.

v3.0.3 Release

Fixes

• gRPC: parse_query_response: Skip parsing empty Usage by @​daverigby in pinecone-io/pinecone-python-client#301
• Support overriding additional_headers with PINECONE_ADDITIONAL_HEADERS environment variable by @​fsxfreak in pinecone-io/pinecone-python-client#304
• upsert_from_dataframe: Hide all progressbars if !show_progress by @​daverigby in pinecone-io/pinecone-python-client#310

Chores

• Update github actions dependencies to fix warnings by @​jhamon in pinecone-io/pinecone-python-client#308
• Update generated openapi code by @​jhamon in pinecone-io/pinecone-python-client#309

New Contributors

• @​fsxfreak made their first contribution in pinecone-io/pinecone-python-client#304

Full Changelog: pinecone-io/pinecone-python-client@v3.0.2...v3.0.3

Release v3.0.2

Fixes

Create indexes using source_collection option in PodSpec

This release resolves a bug when passing source_collection as part of the PodSpec. This option is used when creating a new index from vector data stored in a collection. The value of this field should be a collection you have created previously from an index and that shows with pc.list_collections(). Currently collections and pod-based indexes are not portable across environments.

from pinecone import Pinecone
pc = Pinecone(api_key='YOUR_API_KEY')
pc.create_index(
name='my-index',
dimension=1536,
metric='cosine',
spec=PodSpec(
environment='us-east1-gcp',
source_collection='collection-2024jan16',
)
)

Pass optional GRPCClientConfig when using PineconeGRPC

This could be considered as a fix for a UX bug or a micro-feature, depending on your perspective. In 3.0.2 we updated the pc.Index helper method that is used to build instances of the GRPCIndex class. It now accepts an optional keyword param grpc_config. Before this fix, you would need to import GRPCIndex and instantiate GRPCIndex yourself in order to pass this configuration and customize some settings, which was a bit clunky.

from pinecone.grpc import PineconeGRPC, GRPCClientConfig
pc = PineconeGRPC(api_key='YOUR_API_KEY')
grpc_config = GRPCClientConfig(
timeout=10,
secure=True,
reuse_channel=True
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... (truncated)

Commits

• 26b7c10 [skip ci] Bump version to v3.0.3
• 14f6384 upsert_from_dataframe: Hide all progressbars if !show_progress (#310)
• 886f932 Update generated openapi code (#309)
• 2c887bb Update github actions dependencies to fix warnings (#308)
• 3297661 Add cleanup script and workflow
• b8c12eb Support overriding additional_headers with PINECONE_ADDITIONAL_HEADERS en...
• 921e0b4 gRPC: parse_query_response: Skip parsing empty Usage (#301)
• 61c19ad [skip ci] Bump version to v3.0.2
• 45c18e9 Optional configs to pass additional_headers/additional_metadata to indexe...
• 995c0a1 Integration tests for collections (#299)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #479.