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bootcamp

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

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Jupyter Notebookvector-databasesemantic-searchaudio-searchunstructured-datadeep-learningimage-searchquestion-answeringmilvusimage-classificationembeddingsimage-recognitionllmpythonnlprag

Milvus bootcamp is a Jupyter Notebook-based collection of examples for working with unstructured data using vector search. It covers use cases such as reverse image search, audio search, molecular search, video analysis, question answering, and NLP.

It gives you runnable, notebook-style starting points for building similarity search and RAG applications on top of Milvus.

Use it to

  • Build a reverse image search pipeline
  • Prototype a question answering system with embeddings
  • Experiment with semantic search over unstructured data
  • Learn vector database workflows via notebooks
  • Explore RAG patterns with LLMs and Milvus

For Developers and ML practitioners exploring vector search with Milvus

Role
rag
Language
Jupyter Notebook
Licence
Apache-2.0
Forks
685
Last push
2026-09-08
Latest release
data · 2025-05-22
topicsmilvusvector-databaseragsemantic-searchembeddingsnlp