Explore the fascinating world of word embeddings using Word2Vec, TensorFlow 2.0+, and Python to build a cutting-edge model from Wikipedia data. Dive into the intricacies of word representations, word embeddings, and the word2vec software. Examine the TensorFlow demo, its model, and dataset, while learning about the unsupervised skip-gram negative-sampling model. Understand the potential applications in natural language processing tasks such as chatbot development and learn how to create powerful word embeddings using TensorFlow and Python.