pinecone-plugin-inference

What it is and what it does

This package extends the Pinecone Python SDK with access to Pinecone's Inference API, allowing you to generate vector embeddings directly without running a separate embedding service. It acts as a plugin that adds an `inference` namespace to the Pinecone client, exposing embedding models for converting text into vectors suitable for semantic search and similarity matching.

The plugin works through pinecone-plugin-interface and currently supports the multilingual-e5-large model for generating embeddings from documents and queries. You provide text and optional parameters (like input type and truncation strategy), and the API returns vector embeddings that can be stored in or compared against a Pinecone index. The package is in a dormant state with no recent updates, so it is stable but not actively developed.

Use it for:

• Generate embeddings for documents and queries to power semantic search within a Pinecone vector database.
• Embed multilingual text using a single model to support cross-language similarity matching.
• Create vector representations for retrieval-augmented generation (RAG) pipelines that query a Pinecone index.
• Batch embed large document collections with built-in truncation and input-type handling.
• Prototype embedding workflows without managing separate embedding infrastructure.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides embedding generation through Pinecone's Inference API, enabling you to create vector embeddings for documents and queries using supported embedding models.

Yes, if you are already using Pinecone and need embedding generation without external dependencies. The low install friction and permissive license make it straightforward to add. However, the dormant maintenance status means you should verify that the current version and supported models meet your needs, as no updates are expected. Not recommended if you require active support or expect new embedding models to be added.

Install

pinecone-plugin-inference on PyPI

pip install pinecone-plugin-inference

uv add pinecone-plugin-inference

poetry add pinecone-plugin-inference

Installing pinecone-plugin-inference

Before you install

Low install friction with a single lightweight dependency on pinecone-plugin-interface. The package is dormant (612 days since last release), so expect no active maintenance or bug fixes—suitable only if the current version meets your needs.

License in practice

Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.

Quickstart

pip install pinecone-plugin-inference

from pinecone import Pinecone
pc = Pinecone(api_key="YOUR_KEY")
embeddings = pc.inference.embed(
    model="multilingual-e5-large",
    inputs=["your text here"],
    parameters={"input_type": "passage", "truncate": "END"}
)

Requires a valid Pinecone API key and an active Pinecone account to call the Inference API.

Verify before relying

• Whether multilingual-e5-large remains the only supported model or if additional models have been added since the last release.
• Current API stability and whether the Inference API is still in preview or has moved to general availability.
• Minimum version requirements for pinecone-plugin-interface to function correctly.

Package facts

Evidence: pinecone_plugin_inference-3.1.0-py3-none-any.whl

Tags

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