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GET
/
orgs
/
{org_id}
/
knowledge
/
contents
/
{content_id}
{
  "id": "<string>",
  "title": "<string>",
  "type": "TEXT",
  "content": {
    "type": "TEXT",
    "text": "<string>"
  },
  "text": "<string>",
  "size": 123,
  "chunks_processed": 123,
  "chunks_count": 123,
  "error": "<string>",
  "status": "PENDING",
  "created_at": "2023-12-25",
  "updated_at": "2023-12-25"
}

Path Parameters

​
org_id
string
required

The ID of the org

​
content_id
string
required

The ID of the content

Response

200 - application/json

The content details.

Schema for vector content

​
id
string
required
​
title
string
required

Title of the vector

​
type
enum<string>
required

Type of the vector content

Available options:
TEXT,
FILE,
URL
​
content
object
required

Content configuration schema for different vector input types

  • Option 1
  • Option 2
  • Option 3
​
text
string | null
required

Text content of the vector

​
size
number
required

Size of the vector in bytes

​
chunks_processed
number
required

Number of chunks processed for the vector

​
chunks_count
number
required

Number of chunks in the vector

​
error
string | null
required

Error message if vector processing failed

​
status
enum<string>
required

Status of vector processing

Available options:
PENDING,
PROCESSING,
PROCESSED,
FAILED
​
created_at
string<date> | null
required
​
updated_at
string<date> | null
required