Weaviate is an open source vector store. You can deploy it locally on docker or use their managed cloud offering.

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Install Qdrant addon

npm install @llm-tools/embedjs-weaviate

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Usage

import { RAGApplicationBuilder } from '@llm-tools/embedjs';
import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';
import { WeaviateDb } from '@llm-tools/embedjs-weaviate';
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()
.setModel(SIMPLE_MODELS.OPENAI_GPT4_O)
.setEmbeddingModel(new OpenAiEmbeddings())
.setVectorDatabase(new WeaviateDb({ host: '...', apiKey: '...', className: '...', scheme: '...' }))
.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