---
id: pinecone-plugin-assistant
version: "3.0.3"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# pinecone-plugin-assistant — Assistant plugin for Pinecone SDK

License: permissive · Maintenance: active · Downloads: 2.0M/mo

## What it is and what it does

This package is a plugin for the Pinecone SDK that exposes the Assistant APIs—a managed service for building AI assistants that understand and reason over your documents. It wraps HTTP calls to Pinecone's backend, letting you create named assistants, upload files, and chat with them using natural language. The assistant ingests your documents and answers questions grounded in that content.

Typically you'll instantiate a Pinecone client, create or retrieve an assistant by name, upload one or more files to it, then send chat messages and receive responses. The package handles file upload, status polling, and message formatting. It depends only on requests for HTTP communication, making installation straightforward. The APIs are currently in beta, meaning the feature set or behavior may evolve.

Use it for:

- Build a customer support chatbot that answers questions grounded in your product documentation or knowledge base.
- Create a research assistant that ingests documents and answers domain-specific questions.
- Develop an internal knowledge assistant for teams to query company policies, procedures, or historical data.
- Prototype a document Q&A system without managing your own embeddings or vector storage infrastructure.
- Augment an LLM application with semantic search over proprietary documents without building a retrieval pipeline.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Python bindings to Pinecone's Assistant APIs for creating, managing, and chatting with AI assistants that can ingest and reason over documents.

Yes. The package has low install friction, permissive licensing, no known vulnerabilities, and active maintenance. Install it if you're already using Pinecone and want to leverage its managed Assistant APIs. Skip it if you don't have a Pinecone account or prefer to manage your own document embeddings and retrieval.

## Install

pip install pinecone-plugin-assistant
uv add pinecone-plugin-assistant
poetry add pinecone-plugin-assistant

## Installing pinecone-plugin-assistant

Before you install: Low friction: pure Python wheel with a single runtime dependency (requests). Active maintenance status with recent release.

License in practice: Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most projects.

Quickstart:

from pinecone import Pinecone

pc = Pinecone(api_key='YOUR_API_KEY')
assistant = pc.assistant.create_assistant(assistant_name="my_assistant")
assistant.upload_file("./document.pdf")
msg = {"content": "Question about document?"}
resp = assistant.chat_completions(messages=[msg])
print(resp)

Requires a valid Pinecone API key and an active Pinecone account; assistant APIs are currently in beta.

Verify before relying:

- Whether the beta status of Pinecone Assistant APIs affects stability or feature availability guarantees.
- Performance characteristics and latency for document upload and chat completion operations.
- Supported file formats beyond the PDF and text examples shown in the documentation.
- Full list of message object properties and response structure details.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 2.0M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

pinecone assistant api client, document-aware ai chat, semantic document search, pinecone sdk plugin, ai assistant management, vector database assistant, file upload to ai assistant, vector-database, document-qa, ai-assistant

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