Semantic Search
An information retrieval technique that finds documents based on their underlying meaning and context, rather than relying on exact keyword matches.
Think of It Like This
Like asking a librarian for books about 'felines' and receiving books about 'cats' even though the word 'feline' isn't in the title.
Semantic search utilizes dense vector embeddings produced by neural networks. Both the query and the documents are mapped into a high-dimensional space, and similarity is calculated using metrics like Cosine Similarity. It excels at answering complex, nuanced queries that traditional TF-IDF or BM25 keyword systems fail to grasp.