Ingest Website into Graphlit

Ingest public website pages into Graphlit so documentation, articles, and knowledge-base content become searchable context for RAG and agents.

Ingest

1 ingest surface

No OAuth required

URL, key, or query setup

Graphlit API

createFeed + queryContents

MCP-native

Agent context flows

Ingest

What gets ingested

Graphlit reads the selected Website surfaces, converts the source material into searchable content, and keeps enough source metadata for grounded answers, retrieval, and downstream agent workflows.

Website pages

Feed type: Web

Website
Public pages and documentation
Articles and blog posts
Linked PDFs and assets
Crawl boundaries via path filters

Setup fields

Site URL *Allowed PathsExcluded PathsPage Limit

Prepare

What Graphlit prepares

The integration is not just a connector. Graphlit turns Website into content that can be searched, cited, summarized, enriched with observations, and supplied to agents through the Graphlit API and MCP.

{
  "source": "Website",
  "content": "Website pages",
  "extracted": [
    "entities",
    "observations",
    "facts",
    "summaries"
  ],
  "citations": [
    "Website source references"
  ],
  "agentContext": {
    "searchable": true,
    "groundedAnswers": true,
    "deliveryEnabled": false
  }
}

Use cases

What you can build with Website

01

Build a Website knowledge base from public pages and documentation and articles and blog posts and search it alongside the rest of your Graphlit content.

02

Ask grounded questions over Website context without forcing users to leave the tools where the work originally happened.

03

Extract people, organizations, projects, events, facts, and decisions from Website content so agents can reason over durable context.

04

Combine Website with RSS Feed, Slack, and Notion to build cross-tool RAG, research, and operational intelligence workflows.

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SDK:
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FAQ

Common questions

Start building

Start building with Website and Graphlit

Create a free Graphlit project, connect Website, and turn real operational context into retrieval, knowledge graphs, and MCP-native agent workflows.

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