#EmbeddingModels are powering search, recommendation & RAG systems by transforming data into meaningful representations.
State-of-the-art LLMs can be adapted to generate high-quality embeddings, but scaling them for real-world apps brings challenges.
🔗 This #InfoQ video walks through the end-to-end lifecycle of embedding systems: https://bit.ly/4qLdA9M
📄 #transcript included

