Llm, Retrieval Augmented Gen, Telecommunication, Chatbots, Retrieval Augmented.
considered. · The first model, all-MiniLM-L6-v2, excels at capturing the semantic meaning of sentences and paragraphs. It efficiently converts these text units into 384-dimensional vectors, essentially encoding their meaning in a numerical space. This allows the RAG system to compare the query’s