ai.z.openapi.api.embedding

Interface EmbeddingApi

public interface EmbeddingApi

Embeddings API for text vectorization using GLM models Converts text into high-dimensional vector representations for semantic similarity and search Supports batch processing of multiple text inputs with configurable dimensions Ideal for RAG applications, semantic search, text classification, and similarity matching Features optimized performance for Chinese and multilingual text processing

Method Summary

Modifier and Type	Method and Description
io.reactivex.rxjava3.core.Single<EmbeddingResult>	createEmbeddings(EmbeddingCreateParams request) Create embeddings for input text using GLM embedding models Converts text strings into numerical vector representations that capture semantic meaning Supports customizable vector dimensions for different use cases and performance requirements Optimized for both single text and batch processing scenarios

Method Detail

createEmbeddings

@POST(value="embeddings")
io.reactivex.rxjava3.core.Single<EmbeddingResult> createEmbeddings(@Body
                                                                                             EmbeddingCreateParams request)

Create embeddings for input text using GLM embedding models Converts text strings into numerical vector representations that capture semantic meaning Supports customizable vector dimensions for different use cases and performance requirements Optimized for both single text and batch processing scenarios

Parameters:

request - Embedding parameters including input text, model selection, dimensions, and encoding format

Returns:

High-quality embedding vectors with usage statistics and token consumption details