Embedding via ChromaDB Vector Database
This blog post covers the concept of embeddings and vector databases. Initially, it explains what embeddings are and how they are used in the field of Natural Language Processing (NLP). Then, an explanation of vectors in a three-coordinate space and their extension to multidimensional vectors follows. Finally, ChromaDB is introduced, a specialized vector database. What is an Embedding? An Embedding is a technique in the field of machine learning and data processing that aims to transform objects such as words, sentences, or documents into a continuous vector space. In this vector space, similar objects are represented by similar vectors, meaning they lie close together. Embeddings are frequently used to capture and analyze the semantic meaning of texts. ...