Introduction to Vector Search and Embeddings
This guide offers a practical introduction to vector search and embeddings, showcasing their essential roles in modern Natural Language Processing (NLP). Through step-by-step code examples, you'll learn how to convert text into numerical vectors, calculate similarities, and leverage OpenAI's GPT-4 for context-aware responses.
Tags: vectorsearch, embeddings, nlp, cosinesimilarity