An article discussing the use of embeddings in natural language processing, focusing on comparing open source and closed source embedding models for semantic search, including techniques like clustering and re-ranking.
This article explores the use of word2vec and GloVe algorithms for concept analysis within text corpora. It discusses the history of word2vec, its ability to perform semantic arithmetic, and compares it with the GloVe algorithm.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
