RedisDays NY 2022 announced the public preview of Vector Similarity Search (VSS) capability, part of RediSearch 2.4, available on Docker, Redis Stack, and Redis Enterprise Cloud's free and fixed subscriptions. VSS allows developers to retrieve information based on audio, natural language, images, video clips, voice recordings, and other types of data, transforming unstructured data into vector representations that capture the most essential features of entities. The technology has various applications, including e-commerce recommendations, chatbots, Q&A systems, time-series analysis, graph data analysis, and detecting potential fraud or threats. RediSearch 2.4 provides query ability, secondary indexing, full-text search for Redis data stored as Redis hashes or JSON format, allowing developers to index and query vector data, use different indexing methods, and perform hybrid queries combining vector similarity with traditional filtering capabilities.