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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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Reverse Image search	Chatbots	Chemical structure search

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.

Here are several solutions for a wide range of scenarios. Each solution contains a Jupyter Notebook and a Docker deployable solution, meaning anyone can run it on their local machine. In addition to this there are also some related technical articles and live streams.

You can also refer to the Bootcamp FAQ for troubleshooting, and if you have any ideas or suggestions, you are more than welcome to submit an issue.

We have built online demos for reverse image search, chatbot and molecular search that everyone can have fun with.

The Benchmark Test contains 1 million and 100 million vector tests that indicate how your system will react to differently sized datasets.

We extracted one million vectors from the SIFT1B Dataset for accuracy tests and performance tests. Through this test, you can learn the basic operations of Milvus, including creating collections, inserting data, building indexes, searching, etc.

We extracted 100 million vectors from the SIFT1B Dataset for accuracy tests and performance tests. Through this test, you can learn the basic operations of Milvus, including creating collections, inserting data, building indexes, searching, etc.

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

Contributions to Milvus Bootcamp are welcome from everyone. See Guidelines for Contributing for details.

Join the Milvus community on Slack to give feedback, ask for advice, and direct questions to our engineering team. We also have a WeChat group.