Magna uses Embedding Similarity Search, a technique commonly utilized in large language models (LLMs), to search for text that aligns semantically with the user's query. Unlike traditional text-based search algorithms, embedding similarity search captures the underlying meaning of the text, making it far more effective for retrieving relevant and context-aware results. Magna can return multiple documents with meanings similar to the query while offering various customization options for tailorin...