Milvus Io Bootcamp Save
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Working with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Report Bug or Request Feature
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| Reverse Image search | Chatbots | Chemical structure search |
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:mega: 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.
:pencil: Applications
:icecream: Run locally
Here are several applications for a wide range of scenarios. Each application contains a Jupyter Notebook or 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.
Look here for more application Examples.
💡 Please refer to the Bootcamp FAQ for troubleshooting.
💡 For Chinese links below, try using Google Translate.
| Applications | Have fun with it | Article | Video |
| Reverse Image Search using Images
Build a reverse image search system using Milvus paired with Towhee for feature extraction. |
- 10 lines of code for reverse image search - Reverse Image Search Shopping Experience with VOVA and Milvus |
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Reverse Image Search using Text Using Milvus and Towhee. |
- Jupyter notebook | ||
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RAG Question answering chatbot using Milvus and Towhee for natural language processing (NLP). |
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Retrieval Build a text search engine using Milvus and BERT model. |
- Using Milvus and BERT | - video demo (in Chinese) | |
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- PaddlePaddle Hybrid Search with neural cross-encoder (in Chinese) |
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Recommender System Build an AI-powered movie recommender system using Milvus paired with PaddlePaddle’s deep learning framework. |
- Milvus and PaddlePaddle (in Chinese) | ||
Video Search by Image Build a video similarity search engine using Milvus and Towhee. |
- Milvus video search by image - Building a Video Analysis System with Milvus Vector Database |
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Video Deduplication Build a video deduplication system to detect copied video sharing duplicate segments. |
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Video Search by Text Search for matched or related videos given an input text. Uses Milvus and Towhee. |
- Jupyter notebook | - Implement video search in 5 minutes no tags required | |
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Audio Classification Build an audio classification engine using Milvus & Towhee to classify audio. |
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Audio Fingerprinting Build engines based on audio fingerprints using Milvus & Towhee, such as music detection system. |
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Molecular Similarity Search Build a molecular similarity search system using Milvus paired with RDKit for cheminformatics. |
- Milvus powers AI drug research (in Chinese) | - demo video (in Chinese) |
:clapper: Live Demo
We have built online demos for reverse image search, chatbot and molecular search that everyone can have fun with.
:mag: Benchmark Tests
The VectorDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go-to tool for the ultimate performance and cost-effectiveness comparison.
:pencil: Contributing
Contributions to Milvus Bootcamp are welcome from everyone. See Guidelines for Contributing for details.
:fire: Community
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🤖 Join the Milvus community on Discord to chat with the Milvus team and community.
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#️⃣ Enterprise Zilliz customers, join us on Slack (ask your Zilliz contact for an invitation) for technical support.
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😺 For all other open source Milvus technical support, to discuss, and report bugs, join us on GitHub Discussions.
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🧧 We also have a Chinese WeChat group.
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