@ -103,3 +103,16 @@ A Temporal Network operator takes two numpy.ndarray(shape(N,D) N: number of feat
The returned similarity scores(length same as aligned_ranges).
# More Resources
- [DNA Sequence Classification based on Milvus - Zilliz blog](https://zilliz.com/blog/dna-sequence-classification-based-on-milvus): Use Milvus, an open-source vector database, to recognize gene families of DNA sequences. Less space but higher accuracy.
- [Vector Database Use Cases: Video Similarity Search - Zilliz](https://zilliz.com/vector-database-use-cases/video-similarity-search): Experience a 10x performance boost and unparalleled precision when your video similarity search system is powered by Zilliz Cloud.
- [How to Get the Right Vector Embeddings - Zilliz blog](https://zilliz.com/blog/how-to-get-the-right-vector-embeddings): A comprehensive introduction to vector embeddings and how to generate them with popular open-source models.
- [What is a Convolutional Neural Network? An Engineer's Guide](https://zilliz.com/glossary/convolutional-neural-network): Convolutional Neural Network is a type of deep neural network that processes images, speeches, and videos. Let's find out more about CNN.
- [The guide to clip-vit-base-patch32 | OpenAI](https://zilliz.com/ai-models/clip-vit-base-patch32): clip-vit-base-patch32: a CLIP multimodal model variant by OpenAI for image and text embedding.
- [Understanding ImageNet: A Key Resource for Computer Vision and AI Research](https://zilliz.com/glossary/imagenet): The large-scale image database with over 14 million annotated images. Learn how this dataset supports advancements in computer vision.
- [Build a Multimodal Search System with Milvus - Zilliz blog](https://zilliz.com/blog/how-vector-dbs-are-revolutionizing-unstructured-data-search-ai-applications): Implementing a Multimodal Similarity Search System Using Milvus, Radient, ImageBind, and Meta-Chameleon-7b
- [Unlock Advanced Recommendation Engines with Milvus' New Range Search - Zilliz blog](https://zilliz.com/blog/unlock-advanced-recommendation-engines-with-milvus-new-range-search): Exploring Milvusâs newly released range search feature, how it differs from the traditional KNN search, and when to use it.
- [Similarity Metrics for Vector Search - Zilliz blog](https://zilliz.com/blog/similarity-metrics-for-vector-search): Exploring five similarity metrics for vector search: L2 or Euclidean distance, cosine distance, inner product, and hamming distance.
