Our choice of vectordb, as engineers the experience is great!

Thanks to Qdrant, we utilize it as a vector database to store our knowledge base and uploaded file data. Our RAG would not be possible without it.

After evaluating a bunch of Vector DBs to be our internal vector DB, we finally closed on QDrant because it was the one that scaled the best and had the best price performance ratio

Efficient similarity search, making it ideal for applications in recommendation systems, image recognition, and semantic search.

Most performant and scaleable vector database we could find + written in Rust!

Amazing infrastructure for creating complex RAG system. Thank you

Semantic search + boolean search and fantastic documentation and developer community