bootcamp

milvus-ioApache-2.0活跃维护

Milvus 官方实战教程库，用 Jupyter Notebook 演示以图搜图、音频检索、分子搜索、视频分析和 RAG 问答等非结构化数据处理方案。

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

data发布于 2025-05-22 07:39 UTC2,451star683fork同步于 2026-11-10 17:46 UTC

向量检索非结构化数据以图搜图 RAG Milvus

对比 GitHub 官网 audio-search deep-learning embeddings image-classification image-recognition

怎么上手

由 README 提炼，执行前请确认

原文

README 未提供安装命令，教程与 demo 入口见 https://milvus.io/docs/tutorials-overview.md

硬件要求按 README 说明

README 未说明

下载：源码 zip·GitHub Releases（安装包）本站不镜像安装包

项目说明

由 README 自动翻译提炼

没人工点评？写下你的经验

Milvus 官方示例教程库，用可运行 demo 带你上手向量检索与 RAG 应用

Milvus 官方实战教程库，用 Jupyter Notebook 演示以图搜图、音频检索、分子搜索、视频分析和 RAG 问答等非结构化数据处理方案。

核心能力

提供 RAG、语义搜索、混合搜索等场景的 notebook 教程
覆盖图像搜索、药物发现、电影推荐等实战 demo
演示 Milvus 与 LangChain、LlamaIndex 的集成用法
包含全文搜索、多向量、图搜索等 Milvus 特性示例
提供向量可视化与 HDBSCAN 聚类等快速上手示例

容易踩的坑

教程多为在线文档链接，需自行准备 Milvus 服务与依赖环境；部分 demo 需额外下载数据集或模型，README 未逐一说明

内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README

用户点评

登录用户的真实使用记录，可按版本和硬件筛选

共 0 条

还没有人点评。第一个说出真实体验的人最有价值。

README 原文

未翻译

在 GitHub 打开

:bird: What You Can Do

Begin an interactive journey to master Milvus, enhancing your projects with seamless integration and optimization tools.

Explore Tutorials: Dive into notebooks that walk you through diverse Milvus use cases.
Deploy Demos: Build your own demo to see Milvus in action.
Discover Use Cases: Learn how Milvus integrates with other tools and frameworks through practical examples.
Expand Your Skills: Apply evaluation methods to test and optimize your applications.

:pencil: Examples

You can explore a comprehensive Tutorials Overview covering topics such as Retrieval-Augmented Generation (RAG), Semantic Search, Hybrid Search, Question Answering, Recommendation Systems, and various quick-start guides. These resources are designed to help you get started quickly and efficiently.

Here is a selection of demos and tutorials to show how to build various types of AI applications made with Milvus:

Tutorial	Use Case	Related Milvus Features
Build RAG with Milvus	RAG	vector search
Advanced RAG Optimizations	RAG	vector search, full text search
Full Text Search with Milvus	Text Search	full text search
Hybrid Search with Milvus	Hybrid Search	hybrid search, multi vector, dense embedding, sparse embedding
Image Search with Milvus	Semantic Search	vector search, dynamic field
Multimodal Search using Multi Vectors	Semantic Search	multi vector, hybrid search
Movie Recommendation with Milvus	Recommendation System	vector search
Graph RAG with Milvus	RAG	graph search
Use Milvus as a LangChain Vector Store	RAG	vector search
RAG with Milvus and LlamaIndex	RAG	vector search
Contextual Retrieval with Milvus	Quickstart	vector search
Vector Visualization	Quickstart	vector search
HDBSCAN Clustering with Milvus	Quickstart	vector search

:fire: Community

Join the Milvus community on Discord to share your suggestions, advice, and questions with our engineering team.

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You can also check out our FAQ page to discover solutions or answers to your issues or questions, and subscribe to Milvus mailing lists:

Let's accelerate your Milvus journey together!