Calculate Similarity Node

Calculates the similarity between two strings using embeddings.

Inputs

Label	Property	Type	Description	Default Value	Is Required
text_input 1	string1	botdojo/types/string	First string	null
text_input 2	string2	botdojo/types/string	Second string	null

Properties

Label	Property	Type	Description	Default Value	Is Required
Embedding Model Configuration	embeddingModelConfig	botdojo/types/embedding_model	The embedding provider and model configuration.	Object

Output

Label	Property	Type	Description	Default Value
Similarity Score	similarityScore	botdojo/types/number	The calculated similarity score between two strings	null

Get Similarity Node

The Get Similarity Node calculates the similarity score between two text strings using specified embedding models. This is useful for text comparison applications such as content recommendation, duplicate detection, or semantic search.

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How It Works

• Receives two strings as input.
• Retrieves the configured embedding model and computes embeddings for both strings.
• Calculates the dot product of these embeddings to determine the similarity score.
• Outputs the similarity score, which indicates how similar the two strings are.

Example Flow

An example flow diagram can be found at the provided URL.

Use Cases

• Content Recommendation: Recommend content similar to user preferences by comparing similarity between content pieces.
• Duplicate Detection: Identify duplicate or similar text entries in a dataset.
• Semantic Search: Find semantically similar search results, even if exact words differ.

This node enables advanced text analysis by leveraging machine learning models for natural language processing.