Ground RAG in {fresh content}
Collect web pages and documents, keep a source with every chunk, and refresh the content that changes. Build your retrieval pipeline with Scrape, Crawl, Parse, and Monitors.
Collect, index, and keep your content current
Collect web content
Scrape a page or crawl a site. Use Batches when you need to collect a large URL list in the background.
const page = await
client.web.scrape({
url: 'https://example.com',
formats: { markdown: true },
});
const text = page.markdown.data;Include your documents
Parse uploaded files into Markdown, then chunk and index them alongside web content with source references.
const document = await
client.parse.handle(
createReadStream('report.pdf'),
{ extension: 'pdf' },
);
const text = document.markdown;Refresh changed sources
Use Monitor change events to schedule a new scrape and replace the affected chunks in your retrieval index.
const monitor = await
client.monitors.create({
name: 'Knowledge base source',
target: {
type: 'page',
url: 'https://example.com',
},
change_detection: { type: 'exact' },
schedule: {
type: 'interval',
frequency: 6,
unit: 'hours',
},
webhook: {
url: 'https://app.example.com/hooks',
events: ['change.detected'],
},
});Every part of your content pipeline.
Scrape
Collect Markdown from individual pages, keeping each URL with its content for citations and future updates.
POST /v1/web/scrapeCrawl Website
Read a website within your page, depth, and URL filters. Use Batches for larger collections that should run in the background.
POST /v1/web/crawlParse File
Convert uploaded documents into Markdown, with optional OCR for scanned PDF pages. Add them to the same index as web content.
POST /v1/parseMonitor the web
Watch source pages on a schedule. Use signed change events to trigger a new scrape and update affected chunks.
POST /v1/monitorsUse Map to discover a site’s URLs before collecting content, or submit large URL lists to Batches.
Built for
Teams that need live web data in their AI stack
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