chore(deps): bump pinecone from 4.1.2 to 8.0.0

[dependabot]

Bumps pinecone from 4.1.2 to 8.0.0.

Release notes

Sourced from pinecone's releases.

Release v8.0.0

Upgrading from 7.x to 8.x

The v8 release of the Pinecone Python SDK has been published as pinecone to PyPI.

With a few exceptions noted below, nearly all changes are additive and non-breaking. The major version bump primarily reflects the step up to API version 2025-10 and the addition of a new dependency on orjson for fast JSON parsing.

Breaking Changes

⚠️ Python 3.9 is no longer supported. The SDK now requires Python 3.10 or later. Python 3.9 reached end-of-life on October 2, 2025. Users must upgrade to Python 3.10+ to continue using the SDK.

⚠️ Namespace parameter default behavior changed. The SDK no longer applies default values for the namespace parameter in GRPC methods. When namespace=None, the parameter is omitted from requests, allowing the API to handle namespace defaults appropriately. This change affects upsert_from_dataframe methods in GRPC clients. The API is moving toward "__default__" as the default namespace value, and this change ensures the SDK doesn't override API defaults.

Note: The official SDK package was renamed last year from pinecone-client to pinecone beginning in version 5.1.0. Please remove pinecone-client from your project dependencies and add pinecone instead to get the latest updates if upgrading from earlier versions.

What's new in 8.x

Dedicated Read Capacity for Serverless Indexes

You can now configure dedicated read nodes for your serverless indexes, giving you more control over query performance and capacity planning. By default, serverless indexes use OnDemand read capacity, which automatically scales based on demand. With dedicated read capacity, you can allocate specific read nodes with manual scaling control.

Create an index with dedicated read capacity:

from pinecone import (
    Pinecone,
    ServerlessSpec,
    CloudProvider,
    AwsRegion,
    Metric
)
pc = Pinecone()
pc.create_index(
name='my-index',
dimension=1536,
metric=Metric.COSINE,
spec=ServerlessSpec(
cloud=CloudProvider.AWS,
region=AwsRegion.US_EAST_1,
read_capacity={
"mode": "Dedicated",
"dedicated": {
"node_type": "t1",
"scaling": "Manual",
"manual": {
"shards": 2,
"replicas": 2
}
</tr></table>

... (truncated)

Commits

• a792173 [skip ci] Bump version to v8.0.0
• 08c1735 Fix mypy Error on Python 3.11 (#563)
• 2e430c1 Update on-merge workflow
• 04aa5d1 Merge release-candidate/2025-10 in prepartion for v8.0 release
• 47c4cfa Update pinecone-plugin-assistant to >=3.0.1 (#561)
• a445f09 Preserve all headers in response info (#559)
• d391c9a Add Missing Method Documentation (#560)
• 8fb1b4d Adopt orjson for JSON performance optimization (#556)
• 6713a6f Bump js-yaml from 3.14.1 to 3.14.2 in /.github/actions/bump-version in the np...
• 27e751c Optimize gRPC Response Parsing Performance (#553)
• Additional commits viewable in compare view

You can trigger a rebase of this PR by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Note
Automatic rebases have been disabled on this pull request as it has been open for over 30 days.

[github-actions]

🚀 Development Environment Options

This repository supports Dev Containers for a consistent development environment.

Option 1: GitHub Codespaces (Recommended)

Create a cloud-based development environment:

1. Click the green Code button above
2. Select the Codespaces tab
3. Click Create codespace on dependabot/pip/pinecone-8.0.0
4. Wait 2-3 minutes for environment setup
5. Start coding with all tools pre-configured!

Option 2: VS Code Dev Containers (Local)

Use Dev Containers on your local machine:

1. Install Docker Desktop
2. Install VS Code
3. Install the Dev Containers extension
4. Clone this PR branch locally
5. Open in VS Code and click "Reopen in Container" when prompted

Option 3: Traditional Local Setup

Set up the development environment manually:

# Clone the repository
git clone https://github.com/manavgup/rag_modulo.git
cd rag_modulo
git checkout dependabot/pip/pinecone-8.0.0

# Initialize development environment
make dev-init
make dev-build
make dev-up
make dev-validate

Available Commands

Once in your development environment:

make help           # Show all available commands
make dev-validate   # Validate environment setup
make test-atomic    # Run atomic tests
make test-unit      # Run unit tests
make lint          # Run linting

Services Available

When running make dev-up:

• Backend API: http://localhost:8000
• Frontend: http://localhost:3000
• MLflow: http://localhost:5001

---

This automated message helps reviewers quickly set up the development environment.