POST
/
v1
/
vectors
/
get
Retrieve specific vectors from the index by their IDs.

​
Authentication

Required - API key via X-API-Key header: 
X-API-Key: cyborg_your_api_key_here
You can get an API key from the CyborgDB Admin Dashboard. For more info, follow this guide.

​
Request Body

{
  "index_name": "my_index",
  "index_key": "64_character_hex_string_representing_32_bytes",
  "ids": ["item_1", "item_2", "item_3"],
  "include": ["vector", "contents", "metadata"]
}

​
Response

{
  "results": [
    {
      "id": "item_1",
      "vector": [0.1, 0.2, 0.3, 0.4],
      "contents": "Hello world!",
      "metadata": {"category": "greeting", "language": "en"}
    },
    {
      "id": "item_2",
      "vector": [0.5, 0.6, 0.7, 0.8],
      "contents": "Bonjour monde!",
      "metadata": {"category": "greeting", "language": "fr"}
    }
  ]
}
If an item ID doesn’t exist, it will be omitted from the results.

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Exceptions

  • 401: Authentication failed (invalid API key)
  • 404: Index not found
  • 422: Invalid request parameters
  • 500: Internal server error

​
Example Usage

Get All Fields: 
curl -X POST "http://localhost:8000/v1/vectors/get" \
     -H "X-API-Key: cyborg_your_api_key_here" \
     -H "Content-Type: application/json" \
     -d '{
       "index_name": "my_index",
       "index_key": "your_64_character_hex_key_here",
       "ids": ["item_1", "item_2", "item_3"]
     }'
Get Only Contents: 
curl -X POST "http://localhost:8000/v1/vectors/get" \
     -H "X-API-Key: cyborg_your_api_key_here" \
     -H "Content-Type: application/json" \
     -d '{
       "index_name": "my_index",
       "index_key": "your_64_character_hex_key_here",
       "ids": ["doc_1", "doc_2", "doc_3"],
       "include": ["contents"]
     }'
Get Metadata Only: 
curl -X POST "http://localhost:8000/v1/vectors/get" \
     -H "X-API-Key: cyborg_your_api_key_here" \
     -H "Content-Type: application/json" \
     -d '{
       "index_name": "my_index",
       "index_key": "your_64_character_hex_key_here",
       "ids": ["user_1", "user_2"],
       "include": ["metadata"]
     }'
Batch Retrieval: 
curl -X POST "http://localhost:8000/v1/vectors/get" \
     -H "X-API-Key: cyborg_your_api_key_here" \
     -H "Content-Type: application/json" \
     -d '{
       "index_name": "my_index",
       "index_key": "your_64_character_hex_key_here",
       "ids": [
         "batch_1", "batch_2", "batch_3", "batch_4", "batch_5",
         "batch_6", "batch_7", "batch_8", "batch_9", "batch_10"
       ],
       "include": ["contents", "metadata"]
     }'
Example Response (Contents Only): 
{
  "results": [
    {
      "id": "doc_1",
      "contents": "First document content here..."
    },
    {
      "id": "doc_2",
      "contents": "Second document content here..."
    },
    {
      "id": "doc_3",
      "contents": "Third document content here..."
    }
  ]
}
Example Response (Metadata Only): 
{
  "results": [
    {
      "id": "user_1",
      "metadata": {
        "name": "Alice Smith",
        "role": "admin",
        "department": "engineering",
        "created": "2024-01-01"
      }
    },
    {
      "id": "user_2",
      "metadata": {
        "name": "Bob Johnson",
        "role": "user",
        "department": "marketing",
        "created": "2024-01-02"
      }
    }
  ]
}
For IVF and IVFPQ index types, the vector field cannot be included in the response as these index types use compression techniques that don’t preserve original vectors.

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Use Cases

  • Content retrieval: Get original text content by ID
  • Metadata lookup: Retrieve item metadata for display
  • Data validation: Verify stored data integrity
  • Bulk operations: Retrieve multiple items efficiently
  • Content management: Extract specific items for editing or processing