Tag: embedding

OpenAI vs Open-Source Multilingual Embedding Models | by Yann-Aël Le Borgne | Feb, 2024

Choosing the model that works best for your data We’ll use the EU AI act as the data corpus for

Using OpenAI’s Clip model to support natural language search on a collection of 70k book covers In a previous post

Learn how to ensure the quality of your embeddings, which can be essential for your machine-learning system. Creating quality embeddings

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern,

Optimize the Embedding Space for Improving RAG Image by author. AI generated. Embeddings are vector representations that capture the semantic

Enterprises have access to massive amounts of data, much of which is difficult to discover because the data is unstructured.