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.