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docs/en/core/embedding.md

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+# Embedding
+
+Embedding can be understood simply as follows: there is an algorithm (or model) that can map high-dimensional data to a low-dimensional vector space. This mapping process is essentially a process of feature extraction.
+
+> Low-dimensional vector data can reduce the complexity of data, thereby improving the efficiency of model training and inference.
+
+## Samples
+
+```java
+Llm llm = OpenAILlm.of("sk-rts5NF6n*******");
+VectorData embeddings = llm.embed(Document.of("some document text"));
+System.out.println(Arrays.toString(embeddings.getVector()));
+```