pinecone-plugin-inference
Embeddings plugin for Pinecone SDK
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Pinecone API key and an active Pinecone account to call the Inference API.
- 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 · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
last release 2024-12-10 (612 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 473,651 downloads/mo, #6,461 on PyPI
Alternatives
Verify before relying
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"}
)- 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.
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 on it.
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
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.
Requires a valid Pinecone API key and an active Pinecone account to call the Inference API.
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"}
)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
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagepinecone-plugin-interface |
| Maintenance | Dormant 612 days since the last release |
| First released | |
| Downloads | 473,651 / month, #6,461 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: pinecone_plugin_inference-3.1.0-py3-none-any.whl
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See also pinecone · langchain-pinecone · pinecone-plugin-assistant · llama-index-vector-stores-pinecone · pinecone-plugin-interface · pinecone-client · voyageai · pinecone-text · fastembed · json-e