pinecone-help
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ChinesePinecone Skills — Help & Overview
Pinecone Skills — 帮助与概览
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. It's useful for building semantic search, retrieval augmented generation, recommendation systems, and agentic applications.
Here's everything you need to get started and a summary of all available skills.
<<invoke_any_skill>>
Pinecone 是领先的向量数据库，用于在生产环境中规模化构建准确、高性能的 AI 应用。它适用于构建语义搜索、检索增强生成（RAG）、推荐系统和 Agent 应用。
以下是入门所需的一切，以及所有可用 Skill 的摘要。
<<invoke_any_skill>>
What You Need
准备事项
Required
必需项
- Pinecone account — free to create at https://app.pinecone.io/?sessionType=signup
- API key — create one in the Pinecone console after signing up, then make it available to this environment: <<api_key_setup>>
- Pinecone 账户 — 可免费创建：https://app.pinecone.io/?sessionType=signup
- API key — 注册后在 Pinecone 控制台中创建，然后将其提供给当前环境： <<api_key_setup>>
Optional (unlock more capabilities)
可选项（可解锁更多功能）
| Tool | What it enables | Install |
|---|---|---|
| Pinecone MCP server | Use Pinecone directly inside your AI agent/IDE without writing code | Setup guide |
Pinecone CLI ( | Manage all index types from the terminal, batch operations, backups, CI/CD | |
| uv | Run the packaged Python scripts included in these skills | Install uv |
Available Skills
可用 Skills
| Skill | What it does |
|---|---|
| Step-by-step onboarding — create an index, upload data, and run your first search |
| Search integrated indexes using natural language text via the Pinecone MCP |
| Use the Pinecone CLI ( |
| Create, manage, and chat with Pinecone Assistants for document Q&A with citations |
| Reference for all Pinecone MCP server tools and their parameters |
| Build a full-text-search index — schema design, safe bulk ingestion, and query construction ( |
| Curated links to official Pinecone documentation, organized by topic |
| Build n8n workflows with the Pinecone Assistant node or Pinecone Vector Store node, including best practices and full workflow JSON generation |
| Skill | 功能说明 |
|---|---|
| 分步入门指导——创建索引、上传数据并运行首次搜索 |
| 通过 Pinecone MCP 使用自然语言文本搜索集成索引 |
| 使用 Pinecone CLI（ |
| 创建、管理 Pinecone Assistants 并与其聊天，以完成带引用的文档问答 |
| Pinecone MCP server 所有工具及其参数的参考 |
| 构建全文搜索索引——包括 Schema 设计、安全批量导入和查询构造（ |
| 按主题整理的 Pinecone 官方文档精选链接 |
| 使用 Pinecone Assistant 节点或 Pinecone Vector Store 节点构建 n8n 工作流，包括最佳实践和完整工作流 JSON 生成 |
Which skill should I use?
我应该使用哪个 Skill？
Just getting started? →
pinecone-quickstartWant to search an index you already have?
- Integrated index (built-in embedding model) → (uses MCP)
pinecone-query - Any other index type →
pinecone-cli
Working with documents and Q&A? →
pinecone-assistantBuilding a full-text search index (BM25-style keyword/phrase matching, optionally combined with dense or sparse vectors)? → (document-schema API, needs Python SDK ≥ 10.0.0)
pinecone-full-text-searchpineconeBuilding an n8n workflow with Pinecone (RAG pipeline, chat with docs)? →
pinecone-n8nNeed to manage indexes, bulk upload vectors, or automate workflows? →
pinecone-cliLooking up API parameters or SDK usage? →
pinecone-docsNeed to understand what MCP tools are available? →
pinecone-mcp刚开始使用？ →
pinecone-quickstart想搜索已有索引？
- 集成索引（内置 embedding 模型）→ （使用 MCP）
pinecone-query - 其他任何类型的索引 →
pinecone-cli
正在处理文档和问答？ →
pinecone-assistant正在构建全文搜索索引（BM25 风格的关键词/短语匹配，可选与 dense 或 sparse 向量结合）？ → （Document-schema API，需要 Python SDK ≥ 10.0.0）
pinecone-full-text-searchpinecone正在使用 Pinecone 构建 n8n 工作流（RAG 流水线、与文档聊天）？ →
pinecone-n8n需要管理索引、批量上传向量或自动化工作流？ →
pinecone-cli需要查找 API 参数或 SDK 用法？ →
pinecone-docs需要了解有哪些 MCP 工具可用？ →
pinecone-mcp