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