Embeddings are numerical representations of concepts converted to number sequences, which make it easy for computers to understand the relationships between those concepts. This talk will first focus on our work on embeddings that are useful to perform natural language and code tasks like semantic search, clustering, topic modeling, and classification. Then we will dive deeper into the application of embeddings for retrieval augmented generation with language models.