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GigaChat Embeddings

GigaChat Embeddings from Sberbank of Russia

GigaChat Embeddings

AI-generated

Overview

This node, named GigaChat Embeddings, is designed to generate embeddings using the GigaChat models provided by Sberbank of Russia. It is useful in scenarios where vector representations of data are needed, such as in natural language processing tasks, semantic search, or machine learning workflows. Users can select a specific GigaChat model for vectorization, and the node outputs the generated embeddings.

Use Case Examples

  1. Generating vector embeddings for text data to use in semantic search applications.
  2. Creating embeddings for documents to feed into machine learning models for classification or clustering.

Properties

Name Meaning
Неофициальный узел. Прочтите дисклеймер. A notice property displaying a disclaimer about the unofficial nature of the node.
Имя модели The name of the GigaChat model used for vectorization. Users select from available models loaded dynamically.

Output

JSON

  • embedding - The generated vector embeddings from the selected GigaChat model.

Dependencies

  • Requires an API key credential for GigaChat API authentication.

Troubleshooting

  • Common issues may include authentication failures if the API key is invalid or missing.
  • Errors related to model selection if an unsupported or unavailable model name is provided.
  • Network or SSL certificate validation errors due to the node's configuration to skip SSL certificate validation.

Links

Discussion