@ -95,6 +95,8 @@ An image-text embedding operator takes a [towhee image](link/to/towhee/image/api
# More Resources
- [Sparse and Dense Embeddings - Zilliz blog](https://zilliz.com/learn/sparse-and-dense-embeddings): Learn about sparse and dense embeddings, their use cases, and a text classification example using these embeddings.
@ -105,4 +107,3 @@ An image-text embedding operator takes a [towhee image](link/to/towhee/image/api
- [Hybrid Search: Combining Text and Image for Enhanced Search Capabilities - Zilliz blog](https://zilliz.com/learn/hybrid-search-combining-text-and-image): Milvus enables hybrid sparse and dense vector search and multi-vector search capabilities, simplifying the vectorization and search process.
- [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
- [Image Embeddings for Enhanced Image Search - Zilliz blog](https://zilliz.com/learn/image-embeddings-for-enhanced-image-search): Image Embeddings are the core of modern computer vision algorithms. Understand their implementation and use cases and explore different image embedding models.
