examples

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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。

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

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怎么上手

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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

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

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    README 原文

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    Long term memory for Artificial Intelligence

    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:

    1. Production ready examples in ./docs that receive regular review and support from the Pinecone engineering team
    2. Examples optimized for learning and exploration of AI techniques in ./learn and 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.