Vector databases are considered as the long-term memory of generative AI applications. Qdrant Vector Database is one of the leading and most efficient vector databases available. It is available as open source project under the Apache 2.0 license and as commercial cloud service offering by Qdrant Solutions.
This component allows you to integrate with a Qdrant database cluster to store vector embeddings and perform similarity queries.
Recommend Points support
Regular search allows you to search for points that are similar to a given vector. Recommendations are an alternative or extension to search where you can find points in your qdrant cluster that are close to a given set of vectors or are farthest away from a set of vectors. This is a great option for recommendation systems of all kinds.