From 947c6d7d15a94234c8b0138a857ddaabfab8cdae Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 13:38:35 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/README.md b/README.md index 87d3707..d60a514 100644 --- a/README.md +++ b/README.md @@ -113,3 +113,13 @@ Get a list of all supported model names or supported model names for specified m ​ The model format such as "pytorch", "torchscript". The default value is None, which will return all supported model names. + + +# More Resources + +- [The guide to text-embedding-ada-002 model | OpenAI](https://zilliz.com/ai-models/text-embedding-ada-002): text-embedding-ada-002: OpenAI's legacy text embedding model; average price/performance compared to text-embedding-3-large and text-embedding-3-small. +- [The guide to voyage-code-2 | Voyage AI](https://zilliz.com/ai-models/voyage-code-2): voyage-code-2: Voyage AI's text embedding model optimized for code retrieval (17% better than alternatives). +- [What Is Semantic Search?](https://zilliz.com/glossary/semantic-search): Semantic search is a search technique that uses natural language processing (NLP) and machine learning (ML) to understand the context and meaning behind a user's search query. +- [Tutorial: Diving into Text Embedding Models | Zilliz Webinar](https://zilliz.com/event/tutorial-text-embedding-models): Register for a free webinar diving into text embedding models in a presentation and tutorial +- [Tutorial: Diving into Text Embedding Models | Zilliz Webinar](https://zilliz.com/event/tutorial-text-embedding-models/success): Register for a free webinar diving into text embedding models in a presentation and tutorial +- [Using Voyage AI's embedding models in Zilliz Cloud Pipelines - Zilliz blog](https://zilliz.com/blog/craft-superior-rag-for-code-intensive-texts-with-zcp-and-voyage): Assess the effectiveness of a RAG system implemented with various embedding models for code-related tasks. \ No newline at end of file