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 ​    *numpy.ndarray*
 
 ​	The text embedding extracted by model.
+
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+# More Resources
+
+- [Sentence Transformers for Long-Form Text - Zilliz blog](https://zilliz.com/learn/Sentence-Transformers-for-Long-Form-Text): Deep diving into modern transformer-based embeddings for long-form text.
+- [OpenAI text-embedding-3-large | Zilliz](https://zilliz.com/ai-models/text-embedding-3-large): Building GenAI applications with text-embedding-3-large model and Zilliz Cloud / Milvus
+- [The guide to jina-embeddings-v2-base-en | Jina AI](https://zilliz.com/ai-models/jina-embeddings-v2-base-en): jina-embeddings-v2-base-en: specialized embedding model for English text and long documents; support sequences of up to 8192 tokens
+- [The guide to text-embedding-3-small | OpenAI](https://zilliz.com/ai-models/text-embedding-3-small): text-embedding-3-small: OpenAI’s small text embedding model optimized for accuracy and efficiency with a lower cost.
+- [The guide to jina-embeddings-v2-small-en | Jina AI](https://zilliz.com/ai-models/jina-embeddings-v2-small-en): jina-embeddings-v2-small-en: specialized text embedding model for long English documents; up to 8192 tokens.
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