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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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Jael Gu 2 months ago
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      README.md

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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 model format such as "pytorch", "torchscript".
The default value is None, which will return all supported model names. 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.
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