Learn how to identify keyword cannibalization using OpenAI's text embeddings. Understand the differences between various models and make informed SEO decisions. This new series of articles focuses on ...

To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...

Elastic (NYSE: ESTC), the Search AI Company, today announced the availability of jina-embeddings-v5-text, a family of two small, Elasticsearch-native multilingual embedding models at 0.2B and 0.6B ...

To harness the capabilities of these models, users can simply send a text string to the API endpoint and receive a numerical vector in return. This vector encapsulates the essence of the text’s ...

In previous articles we used Google’s PaLM API to generate a blog post and build a chatbot. In this article, we will explore how to generate text embeddings and perform semantic searches using the ...

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced the Elasticsearch Open Inference API now supports Jina AI’s latest embedding models and reranking products.

Qdrant has launched Qdrant Cloud Inference, a managed service that allows developers to generate, store, and index text and image embeddings in the Qdrant Cloud. The service, which uses integrated ...