{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"}],"enrichment":{"capability":"Provides Python bindings to Pinecone's Assistant APIs for creating, managing, and chatting with AI assistants that can ingest and reason over documents.","skillfed_tags":["vector-database","document-qa","ai-assistant"],"use_cases":["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."],"what_it_does":"This package is a plugin for the Pinecone SDK that exposes the Assistant APIs\u2014a 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.\n\nTypically 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.","worth_installing":"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."},"id":"pinecone-plugin-assistant","links":{"html":"https://skillfed.io/packages/pinecone-plugin-assistant","md":"https://skillfed.io/packages/pinecone-plugin-assistant.md","pypi":"https://pypi.org/project/pinecone-plugin-assistant/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-27","license_spdx":null,"license_treatment":"permissive","name":"pinecone-plugin-assistant","python_support":"supports_current","summary":"Assistant plugin for Pinecone SDK"},"popularity":{"monthly_downloads":1989636,"position":3383,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"3.0.3"}