---
title: '📊 addLoader'
---

The `addLoader()` method is used to load the data sources from different data sources to a RAG pipeline. You can find the signature below:

### Parameters

<ParamField path="loaderParam" type="BaseLoader" required>
    The data to embed, can be a URL, local file or raw content, depending on the data type.. You can find the full list of supported data sources [here](/components/data-sources/overview).
</ParamField>

## Usage

### Load data from webpage

```ts Code example
import { RAGApplicationBuilder } from '@llm-tools/embedjs';
import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';
import { HNSWDb } from '@llm-tools/embedjs-hnswlib';
import { WebLoader } from '@llm-tools/embedjs-loader-web';

const app = await new RAGApplicationBuilder()
.setModel(SIMPLE_MODELS.OPENAI_GPT4_O)
.setEmbeddingModel(new OpenAiEmbeddings())
.setVectorDatabase(new HNSWDb())
.build();

await app.addLoader(new WebLoader({ urlOrContent: 'https://www.forbes.com/profile/elon-musk' }));
//Add loader completed with 4 new entries for 6c8d1a7b-ea34-4927-8823-xba29dcfc5ac
```

### Load data from sitemap

```ts Code example
import { RAGApplicationBuilder } from '@llm-tools/embedjs';
import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';
import { HNSWDb } from '@llm-tools/embedjs-hnswlib';
import { SitemapLoader } from '@llm-tools/embedjs-loader-sitemap';

const app = await new RAGApplicationBuilder()
.setModel(SIMPLE_MODELS.OPENAI_GPT4_O)
.setEmbeddingModel(new OpenAiEmbeddings())
.setVectorDatabase(new HNSWDb())
.build();

await app.addLoader(new SitemapLoader({ url: '"https://js.langchain.com/sitemap.xml' }));
//Add loader completed with 11024 new entries for 6c8d1a7b-ea34-4927-8823-xba29dcfc5ad
```

You can find complete list of supported data sources [here](/components/data-sources/overview).
