chore(deps): update pinecone-client requirement from >=2.0.13 to >=6.0.0 in /utils

[dependabot]

Updates the requirements on pinecone-client to permit the latest version.

Release notes

Sourced from pinecone-client's releases.

Release v6.0.0

What's new in this release?

Indexes with Integrated Inference

This release adds a new create_index_for_model method as well as upsert_records, and search methods. Together these methods provide a way for you to easily store your data and let us manage the process of creating embeddings. To learn about available models, see the Model Gallery.

Note: If you were previously using the preview versions of this functionality via the pinecone-plugin-records package, you will need to uninstall that package in order to use the v6 pinecone release.

from pinecone import (
    Pinecone,
    CloudProvider,
    AwsRegion,
    EmbedModel,
)
1. Instantiate the Pinecone client
pc = Pinecone(api_key="<<PINECONE_API_KEY>>")
2. Create an index configured for use with a particular model
index_config = pc.create_index_for_model(
name="my-model-index",
cloud=CloudProvider.AWS,
region=AwsRegion.US_EAST_1,
embed=IndexEmbed(
model=EmbedModel.Multilingual_E5_Large,
field_map={"text": "my_text_field"}
)
)
3. Instantiate an Index client
idx = pc.Index(host=index_config.host)
4. Upsert records
idx.upsert_records(
namespace="my-namespace",
records=[
{
"_id": "test1",
"my_text_field": "Apple is a popular fruit known for its sweetness and crisp texture.",
},
{
"_id": "test2",
"my_text_field": "The tech company Apple is known for its innovative products like the iPhone.",
},
{
"_id": "test3",
"my_text_field": "Many people enjoy eating apples as a healthy snack.",
},
</tr></table>

... (truncated)

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Project	Deployment	Actions	Updated (UTC)
docs	Ready	Preview, Comment	Apr 23, 2026 8:09am