Qdrant is a Vector Search Engine written in Rust. You will need to sign up to get an API key and URL to use Qdrant.

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Install Qdrant addon

npm install @llm-tools/embedjs-pinecone

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Usage

import { RAGApplicationBuilder } from '@llm-tools/embedjs';

import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';

import { QdrantDb } from '@llm-tools/embedjs-qdrant';

import { WebLoader } from '@llm-tools/embedjs-loader-web';



// set OPENAI_API_KEY in your env

process.env.OPENAI_API_KEY = "sk-xxx";



const app = await new RAGApplicationBuilder()

.setEmbeddingModel(new OpenAiEmbeddings())

.setModel(SIMPLE_MODELS.OPENAI_GPT4_O)

.setVectorDatabase(new QdrantDb({ apiKey: '...'; url: '...'; clusterName: '...' }))

.build();





//add data source and start query it

await app.addLoader(new WebLoader({ urlOrContent: 'https://www.forbes.com/profile/elon-musk' }));

await app.query('Tell me about Elon Musk');

If you can't find specific feature or run into issues, please feel free to reach out through the following channels.

GitHub

Open an issue on our GitHub

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