bootcamp

milvus-io/bootcamp

Interactive tutorials and examples for mastering Milvus with unstructured data applications.

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Jupyter Notebook Apache-2.0Last pushed Apr 20, 2026

Overview

Provides a suite of interactive Jupyter Notebook tutorials, covering a wide range of use cases including image search, question answering systems, and more. Focuses on enhancing project integration with seamless optimization tools and evaluation methods.

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Install

git clone https://github.com/milvus-io/bootcamp

README

license milvus fully-managed-milvus slack discord twitter

: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.

Image Search RAG Drug Discovery

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

TutorialUse CaseRelated Milvus Features
Build RAG with MilvusRAGvector search
Advanced RAG OptimizationsRAGvector search, full text search
Full Text Search with MilvusText Searchfull text search
Hybrid Search with MilvusHybrid Searchhybrid search, multi vector, dense embedding, sparse embedding
Image Search with MilvusSemantic Searchvector search, dynamic field
Multimodal Search using Multi VectorsSemantic Searchmulti vector, hybrid search
Movie Recommendation with MilvusRecommendation Systemvector search
Graph RAG with MilvusRAGgraph search
[Use Milvus as a LangChain Vector Store](https://milvus.io/docs/basic_usage_langch