Cosine Similarity¶
Class: CosineSimilarityBlockV1
Source: inference.core.workflows.core_steps.math.cosine_similarity.v1.CosineSimilarityBlockV1
Calculate the cosine similarity between two embeddings.
A cosine similarity of 1 means the two embeddings are identical, while a cosine similarity of 0 means the two embeddings are orthogonal. Greater values indicate greater similarity.
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/cosine_similarity@v1
to add the block as
as step in your workflow.
Properties¶
Name | Type | Description | Refs |
---|---|---|---|
name |
str |
Unique name of step in workflows. | ❌ |
The Refs column marks possibility to parametrise the property with dynamic values available
in workflow
runtime. See Bindings for more info.
Available Connections¶
Compatible Blocks
Check what blocks you can connect to Cosine Similarity
in version v1
.
- inputs:
Identify Changes
,CLIP Embedding Model
- outputs:
Roboflow Dataset Upload
,Distance Measurement
,Anthropic Claude
,Label Visualization
,Google Gemini
,Template Matching
,Segment Anything 2 Model
,Webhook Sink
,OpenAI
,Line Counter Visualization
,Llama 3.2 Vision
,Keypoint Visualization
,Crop Visualization
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Cosine Similarity
in version v1
has.
Bindings
Example JSON definition of step Cosine Similarity
in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/cosine_similarity@v1",
"embedding_1": "$steps.clip_image.embedding",
"embedding_2": "$steps.clip_text.embedding"
}