#306 · Primary category: Education & Research
bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Project last updated:08/24/26
GitHub Stars
2.4K
Forks
685
Contributors
4
License
Apache-2.0
Why we included this project
Bootcamp collects working examples for Milvus, the open-source vector database. Where the docs give you concepts, these runnable Jupyter notebooks and demos show the workloads people actually build: reverse image search, question answering, RAG pipelines, hybrid and full-text search, and even molecular retrieval for drug discovery. The code is meant to be adapted to your own data, so it doubles as a reference when you are designing an embedding-based feature or need a known-good starting point for a Milvus proof of concept. A few tutorials also cover evaluation and optimization methods, which helps you measure retrieval quality before you commit to an architecture. If you are still comparing vector databases, this gives you a concrete feel for what a typical search application looks like in practice.
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