In an attempt to master the search experience, hybrid search integrates various algorithms, allowing a fusion of keyword-based search strategies and vector search methods. Weaviate Hybrid Search — 🦜🔗 LangChain Such cutting-edge tech is being implemented by Weaviate, a company that employs sparse and dense vectors to enrich the context of search queries and documents. Hybrid search brings together the advantages of multiple search paradigms. It harnesses the power of distinct algorithms such as BM25 and SPLADE, used to compute sparse vectors, and machine learning models like GloVe and Transformers, utilized for dense embeddings. A particular example of the hybrid search approach is seen in Weaviate, predominantly relying on: BM25/BM25F…