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From image generation to voice synthesis to video transcription — deAPI gives you a single, unified API to access the best open-source models.

Text-to-Embedding

Convert text into vector embeddings for semantic search, recommendations, and RAG applications.

BGE M3

Text-to-Embedding

1024-dimensional vectors. Up to 8192 tokens per input, 245K total. Multilingual support. Ideal for RAG, semantic search, and similarity matching.

Sample Output

// 1536-dimensional vector
[0.0234, -0.1567, 0.8901, 0.0453, -0.2341, 0.7823, ..., 0.0012]
Dimensions: 1536 Format: float32

Sample Prompt

The quick brown fox jumps over the lazy dog
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