JavaScript client for Chroma vector database, enabling embedding storage and semantic search in Node.js.
Chroma is the open-source data infrastructure for AI. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
This package gives you a JS/TS interface to talk to a backend Chroma DB over REST.
Our hosted service, Chroma Cloud, powers serverless vector and full-text search. It's extremely fast, cost-effective, scalable and painless. Create a DB and try it out in under 30 seconds with $5 of free credits.
First, start a Chroma server using the Chroma CLI:
chroma run
See more examples on our docs
import { ChromaClient } from "chromadb";
const chroma = new ChromaClient();
const collection = await chroma.createCollection({ name: "test-from-js" });
for (let i = 0; i < 20; i++) {
await collection.add({
ids: ["test-id-" + i.toString()],
embeddings: [[1, 2, 3, 4, 5]],
documents: ["test"],
});
}
const queryData = await collection.query({
queryEmbeddings: [[1, 2, 3, 4, 5]],
queryTexts: ["test"],
});
Apache 2.0
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