Embeddings & Cosine Similarity Explained Simply

Embeddings & Cosine Similarity Explained Simply

Introduction This blog will discuss two main components of Retrieval Augmented Generation: the ingestion of data into a vector database and the retrieval of a relevant chunk of data using cosine similarity. Brief About RAG Before going further, as a prerequisite, here is a brief explanation of Retrieval Augmented Generation for those who are not familiar with this concept. Please feel free to skip to the next sections if you already know RAG. T…