Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) search. However, the…
Meet LEANN: The Tiniest Vector Database that Democratizes Personal AI with Storage-Efficient Approximate Nearest Neighbor (ANN) Search Index
