text: additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural network or semantic-based matching, faceted search, and other applications.ğŸ“„ï¸� RedisRedis (Remote Dictionary Server) is an in-memory data structure store, used as a distributed, in-memory keyâ€“value database, cache and message broker, with optional durability.ğŸ“„ï¸� RocksetRockset is a real-time analytics database service for serving low latency, high concurrency analytical queries at scale. It builds a Converged Indexâ„¢ on structured and semi-structured data with an efficient store for vector embeddings. Its support for running SQL on schemaless data makes it a perfect choice for running vector search with metadata filters.ğŸ“„ï¸� SingleStoreDBSingleStoreDB is a high-performance distributed SQL database that supports deployment both in the cloud and on-premises. It provides vector storage, and vector functions including dotproduct and euclideandistance, thereby supporting AI applications that require text similarity matching.ğŸ“„ï¸� scikit-learnscikit-learn is an open source collection of machine learning algorithms, including some implementations of the k nearest neighbors. SKLearnVectorStore wraps this implementation and adds the possibility to persist the vector store in json, bson (binary json) or Apache Parquet format.ğŸ“„ï¸� StarRocksStarRocks is a High-Performance Analytical Database.ğŸ“„ï¸� Supabase (Postgres)Supabase is an open source Firebase alternative. Supabase is built on top of PostgreSQL, which offers strong SQL querying capabilities and enables a simple interface with already-existing tools and frameworks.ğŸ“„ï¸� TairTair is a cloud native in-memory database service developed by Alibaba