docs/mintlify/integrations/embedding-models/chroma-cloud-qwen.mdx
import { Callout } from '/snippets/callout.mdx';
Chroma provides a convenient wrapper around Chroma Cloud's Qwen embedding API. This embedding function runs remotely on Chroma Cloud's servers, and requires a Chroma API key. You can get an API key by signing up for an account at Chroma Cloud.
<Tabs> <Tab title="Python" icon="python">This embedding function relies on the httpx python package, which you can install with pip install httpx.
from chromadb.utils.embedding_functions import ChromaCloudQwenEmbeddingFunction, ChromaCloudQwenEmbeddingModel
import os
os.environ["CHROMA_API_KEY"] = "YOUR_API_KEY"
qwen_ef = ChromaCloudQwenEmbeddingFunction(
model=ChromaCloudQwenEmbeddingModel.QWEN3_EMBEDDING_0p6B,
task="nl_to_code"
)
texts = ["Hello, world!", "How are you?"]
embeddings = qwen_ef(texts)
You must pass in a model argument and task argument. The task parameter specifies the task for which embeddings are being generated. You can optionally provide custom instructions for both documents and queries.
// npm install @chroma-core/chroma-cloud-qwen
import { ChromaCloudQwenEmbeddingFunction, ChromaCloudQwenEmbeddingModel } from "@chroma-core/chroma-cloud-qwen";
const embedder = new ChromaCloudQwenEmbeddingFunction({
apiKeyEnvVar: "CHROMA_API_KEY", // Or set CHROMA_API_KEY env var
model: ChromaCloudQwenEmbeddingModel.QWEN3_EMBEDDING_0p6B,
task: "nl_to_code",
});
// use directly
const embeddings = await embedder.generate(["document1", "document2"]);
// pass documents to query for .add and .query
const collection = await client.createCollection({
name: "name",
embeddingFunction: embedder,
});