pinecone-plugin-assistant
Assistant plugin for Pinecone SDK
Decision gist · record as of 2026-08-14
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.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; assistant APIs are currently in beta.
- Low friction: pure Python wheel with a single runtime dependency (requests).
- Active maintenance status with recent release.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most projects.
last release 2026-03-27 (140 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,989,636 downloads/mo, #3,383 on PyPI
Alternatives
Verify before relying
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)- 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.
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 on this page. Verify before relying on it.
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
pinecone-plugin-assistant on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (requests). Active maintenance status with recent release.
Requires a valid Pinecone API key and an active Pinecone account; assistant APIs are currently in beta.
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)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 the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagerequests |
| Maintenance | Actively maintained 140 days since the last release |
| First released | |
| Downloads | 1,989,636 / month, #3,383 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 :: 3.14 |
Evidence: pinecone_plugin_assistant-3.0.3-py3-none-any.whl
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