Aliyun Qwen Text Embedding

Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.

Category: provider

Model Studio Text Embedding

Validation

mkdir -p output/aliyun-qwen-text-embedding
python -m py_compile skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py && echo "py_compile_ok" > output/aliyun-qwen-text-embedding/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-text-embedding/validate.txt is generated.

Critical model names

Use one of these exact model strings as needed:

• text-embedding-v4
• text-embedding-v3
• text-embedding-v2
• text-embedding-v1
• qwen3-embedding-8b
• qwen3-embedding-4b
• qwen3-embedding-0.6b

Quick start

python skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py \
  --text "Alibaba Cloud Model Studio" \
  --output output/aliyun-qwen-text-embedding/request.json

Notes

• Pair this skill with skills/ai/search/aliyun-dashvector-search/ or other vector-store skills.
• For image or multimodal embeddings, add dedicated multimodal embedding coverage separately.

References

• references/sources.md