Category: Tech, Technology, Science & Nature

In the last few years, embeddings have become one of the most essential building blocks in AI systems, most especially in Search, Recommendation Engines, and Retrieval-Augmented Generation, or RAG. If you have worked with semantic search, vector databases, or LLM-powered assistants, you have already relied on embeddings, whether you know it or not. In this blog, we’ll break down: What embeddings really are Sparse vs Dense Embeddings How Embedding Retrieval Works What embedding-based retrieval means in practice What are embeddings in RAG