VEMB

VEMB key element [RAW]

Available since:

Redis CE 8.0.0

Time complexity:

O(1)

Return the approximate vector associated with a given element in the vector set.

VEMB word_embeddings SQL
1) "0.18208661675453186"
2) "0.08535309880971909"
3) "0.1365649551153183"
4) "-0.16501599550247192"
5) "0.14225517213344574"
... 295 more elements ...

Vector sets normalize and may quantize vectors on insertion. VEMB reverses this process to approximate the original vector by de-normalizing and de-quantizing it.

To retrieve the raw internal representation, use the RAW option:

VEMB word_embeddings apple RAW
1) int8
2) "\xf1\xdc\xfd\x1e\xcc%E...\xde\x1f\xfbN" # artificially shortened for this example
3) "3.1426539421081543"
4) "0.17898885905742645"

Required arguments

Optional arguments

Related topics

• Vector sets

RESP2 Reply

One of the following:

• Array reply: of real numbers as bulk strings, representing the vector.
• Array reply: consisting of the following elements:
  1. The quantization type as a simple string: fp32, bin, or q8.
  2. A bulk string blob with the following raw data:
     • 4-byte floats for fp32
     • A bitmap for binary quantization
     • A byte array for q8
  3. The L2 norm, as a simple string, of the vector before normalization.
  4. (Only for q8): The quantization range as a simple string. Multiply this by integer components to recover normalized values.

RESP3 Reply

One of the following:

• Array reply: of doubles, representing the vector.
• Array reply: consisting of the following elements:
  1. The quantization type as a simple string: fp32, bin, or q8.
  2. A bulk string blob with the following raw data:
     • 4-byte floats for fp32
     • A bitmap for binary quantization
     • A byte array for q8
  3. The double L2 norm of the vector before normalization.
  4. (Only for q8): The quantization range as a double. Multiply this by integer components to recover normalized values.