Vectors for Semantic Search

You will need to create a vector for the sentence transformers that allow semantic searches. There are a few specific requirements but otherwise it's like setting up any other vector.

For support creating a vector see our guide on creating a new vector.

New vector

There are couple of specific requirements depending on the transformer you are using.

All-mpnet-base-v2 - 768 Dimensions

1. Type: Dense Vector

2. Element Type: Select Float from the dropdown list.

3. Dimensions: 768

4. Similarity Metric: Select dot_product from the dropdown list.

5. Count: 10

6. Index: This must be enabled.

Multi-qa-mpnet-base-dot-v1 - 768 Dimensions

1. Type: Dense Vector

2. Element Type: Select Float from the dropdown list.

3. Dimensions: 768

4. Similarity Metric: Select dot_product from the dropdown list.

5. Count: 10

6. Index: This must be enabled.