is an open-source vector similarity search engine and database written in Rust. It supports a wide range of text and multimodal dense . Our teams have used open-source embeddings like and for multiple product knowledge bases. We use Qdrant as an enterprise vector store with to store vector embeddings as separate collections, isolating each product's knowledge base in storage. User access policies are managed in the application layer.
is an open-source vector database written in Rust. In the September 2023 edition of the Radar, we talked about pgvector, a PostgreSQL extension for vector search. However, if you have to scale the vector database horizontally across nodes, we encourage you to assess Qdrant. It has built-in single instruction, multiple data (SIMD) acceleration support for improved search performance, and it helps you associate JSON payloads with vectors.
