Weaviate 1.25 introduces dynamic vector indexing, enabling efficient scaling as data grows by dynamically switching from flat indexes to HNSW. Raft improves schema management and makes multi-node clusters more reliable. New modules allow users to host and run open source embedding and language models locally. Batch vectorization speeds up data import, while automatic tenant creation simplifies the process. Search improvements include hybrid search with vector similarity search and grouping methods, as well as keyword search with grouping.