Unlocking Ambiguity in Semantic Search: Introducing Blowfish

Data scientists Thomas Roland Barillot and Alex De Castro introduce the Blowfish framework, a novel method to quantify and manage ambiguity in semantic search. Using a combination of topological and statistical analyses, Blowfish identifies patterns in sentence embeddings to distinguish ambiguous search queries. This approach enhances search accuracy and has broad implications for AI-driven applications such as Retrieval Augmented Generation (RAG) systems, ultimately leading to more precise information retrieval and improved user experiences.