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Yandex Embeddings

Generate embeddings using Yandex Embeddings API

Yandex Embeddings

AI-generated

Overview

This node generates embeddings using the Yandex Embeddings API. It is useful for transforming text data into vector representations that can be used for tasks such as semantic search, text similarity, and machine learning applications. For example, it can convert documents or queries into embeddings to facilitate efficient information retrieval or clustering.

Use Case Examples

  1. Generating embeddings for document search using the 'text-search-doc' model.
  2. Creating query embeddings for semantic search with the 'text-search-query' model.

Properties

Name Meaning
Model Name Selects the Yandex embedding model to use, either 'text-search-doc' for document embeddings or 'text-search-query' for query embeddings.

Output

JSON

  • response - The YandexGPTEmbeddings instance configured with the selected model and API key, used to generate embeddings.

Dependencies

  • Yandex Embeddings API
  • An API key credential for Yandex API authentication

Troubleshooting

  • Ensure the Yandex API key credentials are correctly configured and valid.
  • Verify that the selected model name is one of the supported options ('text-search-doc' or 'text-search-query').
  • Check network connectivity to the Yandex Embeddings API endpoint if requests fail.

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