记忆

Alibaba Cloud AI Search Text Embedding

试用

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

它能做什么

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

技能文档

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

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