Tired of sifting through pages of irrelevant search results? What if you could find exactly what you’re looking for with just a few keystrokes? Enter AI embeddings—a fantastic option in the world of ...

Anyone who has conducted document review knows the frustration of keyword search. You craft what seems like a comprehensive list of terms, run ...

PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...

The process of moving an artificial intelligence prototype to production has a lot of moving parts and can get bogged down quickly. To break up this logjam, database services provider MongoDB Inc.

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 ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

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The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced the Elasticsearch vector database now stores and automatically chunks embeddings from mistral-embed, with ...

Developers using Elastic to build search and RAG applications can now use the latest Jina AI embedding and reranking models without additional integration or development costs SAN FRANCISCO--(BUSINESS ...