Create a Vector Search Index
Head over to the vector search indexes option in the left menu
Now click on the Create Vector Search Index
Select environment, db collection and vector search index name.
In the next step you need to define the mappings
vector is a default field which is only there for the array of floats
| Field | Value | Example |
|---|---|---|
Type | vector | field | vector |
Field Name | fields in model | fields with type list of floats in model |
Number Of Dimensions | number(1 - 4096) | 1023 |
Similarity Function | cosine | euclidean | dotProduct | cosine |
Number Of Dimensions depends on the model which you have used to generate the vector embedings.
Once done with filling form then simply click on the create button on the bottom right of the form.
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