aliyun-qwen-text-embedding

Name: aliyun-qwen-text-embedding
Author: cinience

397stars34forks

How to install aliyun-qwen-text-embedding?

cinience/alicloud-skills/aliyun-qwen-text-embedding

$npx -y skills add cinience/alicloud-skills --skill aliyun-qwen-text-embedding

Installs into the current project.

Summary

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

Files · 1

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SKILL.md

1	Category: provider
2
3	# Model Studio Text Embedding
4
5	## Validation
6
7	```bash
8	mkdir -p output/aliyun-qwen-text-embedding
9	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
10	```
11
12	Pass criteria: command exits 0 and `output/aliyun-qwen-text-embedding/validate.txt` is generated.
13
14	## Critical model names
15
16	Use one of these exact model strings as needed:
17	- `text-embedding-v4`
18	- `text-embedding-v3`
19	- `text-embedding-v2`
20	- `text-embedding-v1`
21	- `qwen3-embedding-8b`
22	- `qwen3-embedding-4b`
23	- `qwen3-embedding-0.6b`
24
25	## Quick start
26
27	```bash
28	python skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py \
29	--text "Alibaba Cloud Model Studio" \
30	--output output/aliyun-qwen-text-embedding/request.json
31	```
32
33	## Notes
34
35	- Pair this skill with `skills/ai/search/aliyun-dashvector-search/` or other vector-store skills.
36	- For image or multimodal embeddings, add dedicated multimodal embedding coverage separately.
37
38	## References
39
40	- `references/sources.md`

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aliyun-qwen-text-embedding

397stars34forks

View on GitHub

How to install aliyun-qwen-text-embedding?

cinience/alicloud-skills/aliyun-qwen-text-embedding

$npx -y skills add cinience/alicloud-skills --skill aliyun-qwen-text-embedding

Installs into the current project.

Summary

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

Files · 1

View on GitHub

SKILL.md

1	Category: provider
2
3	# Model Studio Text Embedding
4
5	## Validation
6
7	```bash
8	mkdir -p output/aliyun-qwen-text-embedding
9	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
10	```
11
12	Pass criteria: command exits 0 and `output/aliyun-qwen-text-embedding/validate.txt` is generated.
13
14	## Critical model names
15
16	Use one of these exact model strings as needed:
17	- `text-embedding-v4`
18	- `text-embedding-v3`
19	- `text-embedding-v2`
20	- `text-embedding-v1`
21	- `qwen3-embedding-8b`
22	- `qwen3-embedding-4b`
23	- `qwen3-embedding-0.6b`
24
25	## Quick start
26
27	```bash
28	python skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py \
29	--text "Alibaba Cloud Model Studio" \
30	--output output/aliyun-qwen-text-embedding/request.json
31	```
32
33	## Notes
34
35	- Pair this skill with `skills/ai/search/aliyun-dashvector-search/` or other vector-store skills.
36	- For image or multimodal embeddings, add dedicated multimodal embedding coverage separately.
37
38	## References
39
40	- `references/sources.md`

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