Get Embeddings Node

Calculates embeddings for the provided text input.

Inputs

Label	Property	Type	Description	Default Value	Is Required
Text Input	textInput	botdojo/types/string	Input text to generate embeddings for.	null

Properties

Label	Property	Type	Description	Default Value	Is Required
Embedding Model Configuration	embeddingModelConfig	botdojo/types/embedding_model	Configure the embedding model and its dimensions.	Object

Output

Label	Property	Type	Description	Default Value
Embedding Output	embeddingOutput	botdojo/types/array	The resulting embedding vector for the input text.	null

        ### Get Embeddings Node
        The Get Embeddings Node is designed to generate embeddings for a given text input using a specified embedding model. This functionality is essential for applications that require understanding and processing natural language data, such as text classification, sentiment analysis, or information retrieval.
        
        ## How It Works
        The node accepts text input.
        It retrieves the configured embedding model and computes the embedding for the input text.
        The generated embedding is outputted, which can be used in further processing or analysis.
        
        ## Example Flow
        [![BotDojo Flow preview](https://api.botdojo.com/api/v1/doc_image/1b1b04b0-bf92-11ee-bfc5-99753860bb34/ee911b50-fd67-11ee-ba0f-813b54637670/cde23e50-0688-11ef-9fb1-0bab06205263_-348.63676872175347_-23.581591365674626_1920_899_1.4109410522992731.png?noCache=true)](https://api.botdojo.com/api/v1/doc_image/1b1b04b0-bf92-11ee-bfc5-99753860bb34/ee911b50-fd67-11ee-ba0f-813b54637670/cde23e50-0688-11ef-9fb1-0bab06205263_-348.63676872175347_-23.581591365674626_1920_899_1.4109410522992731.png?noCache=true)
        
        ## Use Cases
        Text Classification: By generating embeddings for text, you can feed the data into machine learning models for classification tasks.
        Sentiment Analysis: Understand the sentiment of a piece of text by analyzing its embedding.
        Information Retrieval: Enhance search functionalities by comparing embeddings of search queries with those of documents in a database.
        
        Integrating this node into your flow enables advanced text analysis capabilities, leveraging the power of machine learning models to understand and process natural language data effectively.