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python-sdk

pinecone-io/python-sdk

Official Python SDK for Pinecone vector database

GraphCanon updated Sep 8, 2026 · GitHub synced Sep 8, 2026

28views this month

448 stars133 forksLast push Sep 4, 2026 Python Apache-2.0

Decision brief

The python-sdk is the official Python software development kit for working with Pinecone vector databases.

Good fit when

  • Use when you need to integrate Pinecone's services into your application and prefer using the Python programming language.
  • Chosen if you require specific features tied directly to Pinecone, such as specialized client-side optimizations or database-specific access patterns.

Avoid when

  • Avoid if your vector database of choice is not Pinecone, as its utilities are tightly integrated with Pinecone's ecosystem.
  • Not suitable if you seek broader cross-compatibility across different vector databases; this SDK may lack features or optimizations for databases other than Pinecone.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (3d since push)
As of Sep 8, 2026
Provenance
Not a fork · Organization account
As of Sep 8, 2026
Security (OSV)
No lockfile
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install python-sdk
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides access to Pinecone's services through Python programming language.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 8, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 8, 2026)

```python from pinecone import DenseVectorQuery, Pinecone
Source link

Tags

README

Installation Quick start An index declares its fields as a schema. Declaring a schema makes it a document index: you read and write it through , and each record is a JSON document whose fields you named yourself. ```python from pinecone import DenseVectorQuery, Pinecone pc = Pine...

For agents

This page has a .md twin and JSON over the API.

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