示例依赖 Pinecone 向量数据库服务,需自备账号和 API Key;README 未列出依赖版本,环境需自行按各 Notebook 配置;部分示例可能需额外下载模型或数据,README 未统一说明

README 未给出安装命令,仅指向 learn/README.md 的 Getting started 指南README 未说明
Pinecone 官方示例库,用 Jupyter Notebook 带你上手向量数据库和常见 AI 模式
Pinecone 官方示例仓库,用 Jupyter Notebook 演示向量数据库的建库、检索和 RAG 语义搜索流程,适合快速上手实践。
核心能力
- 提供可直接运行、下载和修改的示例应用与 Notebook
- docs 目录收录经工程团队定期审查的生产级示例
- learn 目录专注 AI 技术与应用模式的学习探索
- 引导在 Google Colab 中搭建并运行 Notebook 做实验
容易踩的坑
暂无 release 数据(可能没有发版,或尚未同步)。
用户点评
登录用户的真实使用记录,可按版本和硬件筛选还没有人点评。第一个说出真实体验的人最有价值。

Pinecone Examples
This repository is a collection of sample applications and Jupyter Notebooks that you can run, download, study and modify in order to get hands-on with Pinecone vector databases and common AI patterns, tools and algorithms.
Two kinds of examples
This repo contains:
- Production ready examples in
./docsthat receive regular review and support from the Pinecone engineering team - Examples optimized for learning and exploration of AI techniques in
./learnand patterns for building different kinds of applications, created and maintained by the Pinecone Developer Advocacy team.
We appreciate your feedback and contributions. Please see CONTRIBUTING.md for information on how to contribute to this repo.
Getting started
Please see our Getting started guide in our learn section for detailed instructions and a walkthrough of setting up and running a Jupyter Notebook in Google Colab for experimentation.
We love feedback!
As you work through these examples, if you encounter any problems or things that are confusing or don't work quite right, please open a new issue :octocat:.
Getting support and further reading
Visit our:
Contributing
See CONTRIBUTING.md for guidelines on how to contribute.