Qdrant is a vector database and vector similarity search engine that allows you to turn embeddings or neural network encoders into applications for matching, searching, recommending, and more.

Key Features:

Easy-to-use API with OpenAPI v3 specification

Fast and accurate search capabilities with custom modification of HNSW algorithm

Support for additional payload associated with vectors and filter results based on payload values

Use Cases:

Matching similar vectors in a database

Searching for relevant recommendations based on vector similarity

Filtering search results based on associated payload values

Benefits:

Efficient handling of large amounts of data

Scalable and distributed solution

High performance with the right computational resources