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POST
https://mtxbiyilvgwhbdptysex.supabase.co/functions/v1
/
knowledge-source-add
curl -X POST https://mtxbiyilvgwhbdptysex.supabase.co/functions/v1/knowledge-source-add \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/help/faq",
    "sync_period": "7d"
  }'

{
  "id": "f7a8b9c0-d1e2-3f4a-5b6c-789012def345",
  "url": "https://example.com/help/faq",
  "title": "Frequently Asked Questions - Example Inc",
  "description": "Find answers to common questions about our products and services.",
  "sync_period": "7d",
  "sync_status": "completed",
  "chunk_count": 24,
  "last_synced_at": "2024-01-15T10:35:00Z",
  "next_sync_at": "2024-01-22T10:35:00Z",
  "created_at": "2024-01-15T10:30:00Z"
}
Add a webpage URL as a knowledge source. The content is scraped, processed into chunks, and embedded as vectors for RAG (Retrieval Augmented Generation). Your AI agents can then reference this knowledge when answering questions.

​
Request Body

​
url
string
required
URL to scrape and add to knowledge base. Must be publicly accessible or include auth headers.Example: https://example.com/faq
​
sync_period
string
default:"7d"
How often to re-sync content from the URL.Options: 24h, 7d, 1mo, 3mo
​
auth_headers
object
Authentication headers for protected pages.Example (Bearer):
{
  "Authorization": "Bearer YOUR_TOKEN"
}
Example (Basic):
{
  "Authorization": "Basic dXNlcm5hbWU6cGFzc3dvcmQ="
}

​
Response

​
id
string
Unique knowledge source identifier.
​
url
string
The source URL.
​
title
string
Extracted page title.
​
description
string
Extracted meta description.
​
sync_status
string
Current sync status: pending, syncing, completed, failed.
​
chunk_count
integer
Number of text chunks created from the content.
​
next_sync_at
string
When the next automatic sync will occur.
curl -X POST https://mtxbiyilvgwhbdptysex.supabase.co/functions/v1/knowledge-source-add \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/help/faq",
    "sync_period": "7d"
  }'

{
  "id": "f7a8b9c0-d1e2-3f4a-5b6c-789012def345",
  "url": "https://example.com/help/faq",
  "title": "Frequently Asked Questions - Example Inc",
  "description": "Find answers to common questions about our products and services.",
  "sync_period": "7d",
  "sync_status": "completed",
  "chunk_count": 24,
  "last_synced_at": "2024-01-15T10:35:00Z",
  "next_sync_at": "2024-01-22T10:35:00Z",
  "created_at": "2024-01-15T10:30:00Z"
}

​
How Knowledge Works

  1. Scraping: Content is extracted from the URL, removing navigation and boilerplate
  2. Chunking: Text is split into semantic chunks (~500 tokens each)
  3. Embedding: Each chunk is converted to a vector embedding
  4. Storage: Chunks are stored in a vector database (pgvector)
  5. Retrieval: During calls/chats, relevant chunks are retrieved and included in agent context

​
Supported Content

  • HTML pages (blogs, FAQs, documentation)
  • PDF files (product manuals, guides)
  • Plain text files
Dynamic content loaded via JavaScript may not be captured. For SPAs, consider providing direct links to static content or using server-side rendered pages.