bootcamp
milvus-io/bootcamp
Interactive tutorials and examples for mastering Milvus with unstructured data applications.
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.
Categories
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Install
git clone https://github.com/milvus-io/bootcampREADME
:bird: What You Can Do
Begin an interactive journey to master Milvus, enhancing your projects with seamless integration and optimization tools.
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Explore Tutorials: Dive into notebooks that walk you through diverse Milvus use cases.
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Deploy Demos: Build your own demo to see Milvus in action.
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Discover Use Cases: Learn how Milvus integrates with other tools and frameworks through practical examples.
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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.
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| Image Search | RAG | Drug Discovery |
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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](https://milvus.io/docs/basic_usage_langch |