In the rapidly evolving world of AI agents, one challenge persists: how can we make them smarter, faster, and more context-aware—especially when navigating vast collections of unstructured text? That’s where BM25, a powerful sparse retrieval algorithm from the world of traditional information retrieval, comes into play. While vector embeddings dominate modern NLP pipelines, BM25 still […]