About Milvus Bootcamp

Embed everything, thanks to AI, we can use neural networks to extract feature vectors from unstructured data, such as image, audio and vide etc. Then analyse the unstructured data by calculating the feature vectors, for example calculating the Euclidean or Cosine distance of the vectors to get the similarity. Milvus Bootcamp is designed to expose users to both the simplicity and depth of the Milvus vector database. Discover how to run benchmark tests as well as build similarity search applications like chatbots, recommender systems, reverse image search, molecular search, video search, audio search, and more.


  • Image Similarity Search


    Build a reverse image search system using Milvus paired with YOLOv3 for object detection and ResNet-50 for feature extraction.

    Live Demo
  • Question Answering System


    Build an intelligent chatbot using Milvus and the BERT model for natural language processing (NLP).

    Live Demo
  • Recommender System


    Build an AI-powered movie recommendation system using Milvus paired with PaddlePaddle’s deep learning framework.

  • Video Similarity Search


    Build a video similarity search engine using Milvus and a VGG neural network.

  • Audio Similarity Search


    Build an audio search engine using Milvus paired with PANNs for audio pattern recognition.

  • Molecular Similarity Search


    Build a molecule similarity search system using Milvus paired with RDkit for cheminformatics.

    Live Demo
  • DNA Sequence Classification

    Build a DNA sequence classification model using Milvus paired with CountVectorizer.


  • Milvus and ONNX

    Build a reverse image search system with Milvus using various AI models in collaboration with the Open Neural Network Exchange (ONNX).