From cda83ff74ef3f1917bfef80483ea8ac6b7074029 Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 12:14:32 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/README.md b/README.md index 989c365..c1b7857 100644 --- a/README.md +++ b/README.md @@ -93,3 +93,16 @@ An image-text embedding operator takes a [towhee image](link/to/towhee/image/api ​ The data embedding extracted by model. + + + # 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. +- [Building A Trademark Image Search System with Milvus - Zilliz blog](https://zilliz.com/learn/image-based-trademark-similarity-search-system): Learn how to use a vector database to build your own trademark image similarity search system that could save you from intellectual property lawsuits. +- [Training Your Own Text Embedding Model - Zilliz blog](https://zilliz.com/learn/training-your-own-text-embedding-model): Explore how to train your text embedding model using the `sentence-transformers` library and generate our training data by leveraging a pre-trained LLM. +- [Supercharged Semantic Similarity Search in Production - Zilliz blog](https://zilliz.com/learn/supercharged-semantic-similarity-search-in-production): Building a Blazing Fast, Highly Scalable Text-to-Image Search with CLIP embeddings and Milvus, the most advanced open-source vector database. +- [An LLM Powered Text to Image Prompt Generation with Milvus - Zilliz blog](https://zilliz.com/blog/llm-powered-text-to-image-prompt-generation-with-milvus): An interesting LLM project powered by the Milvus vector database for generating more efficient text-to-image prompts. +- [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. + \ No newline at end of file