Milvus Bootcamp
Tutorials, demos and example notebooks for building applications on the Milvus vector database, covering retrieval-augmented generation, semantic and hybrid search, recommendation and other unstructured-data search use cases.
Milvus Bootcamp is a collection of tutorials, demos and Jupyter notebooks that teach Milvus, an open-source vector database, through hands-on examples. It covers retrieval-augmented generation, semantic search, hybrid search, question answering, recommendation systems, and quick-start guides for image, audio and drug-discovery search.
Examples show Milvus used with LangChain and LlamaIndex, full-text and multi-vector hybrid search, graph RAG, contextual retrieval, vector visualization and HDBSCAN clustering. Each tutorial links the use case to the specific Milvus feature it exercises, such as vector search, dynamic fields or multi-vector search.
The material is meant to be worked through interactively as notebooks rather than read as reference documentation.