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The library supports usage of the TwelveLabs marengo3.0 multimodal embedding model out of the box. Marengo embeds text, image, audio and video into a single shared latent space, which makes it a great fit for retrieval over video libraries. This model returns vectors with dimension 512. Here’s what you have to do to use it -
  • Sign up for an account with TwelveLabs and grab an API key. There’s a generous free tier at twelvelabs.io.
  • Set the key in the environment variable TWELVELABS_API_KEY (or pass it directly to the constructor). 
TWELVELABS_API_KEY="<YOUR_KEY>"

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Install TwelveLabs addon

npm install @llm-tools/embedjs-twelvelabs

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Usage

import { RAGApplicationBuilder } from '@llm-tools/embedjs';
import { MarengoEmbeddings } from '@llm-tools/embedjs-twelvelabs';
import { HNSWDb } from '@llm-tools/embedjs-hnswlib';

const app = await new RAGApplicationBuilder()
.setEmbeddingModel(new MarengoEmbeddings())
You can also pass the API key explicitly: 
new MarengoEmbeddings({ apiKey: 'YOUR_KEY' })