qdrant and qdrant-client
The database engine and its official Python client library are complements designed to be used together, where the client provides programmatic access to Qdrant's vector search functionality.
About qdrant
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
This helps AI developers and data scientists build and manage powerful search, recommendation, and classification applications. It takes high-dimensional numerical data (vectors/embeddings) and associated information (payloads) as input. It then allows users to quickly search for similar items, apply complex filters, and power various AI applications, making it ideal for those working with neural networks and semantic data.
About qdrant-client
qdrant/qdrant-client
Python client for Qdrant vector search engine
This is a Python tool that helps developers interact with a vector search engine to find similar data points. You can input text, images, or other data, and it helps store them as 'vectors' and then quickly find other vectors that are semantically similar. This is primarily used by developers building applications that require searching and retrieving information based on meaning, rather than exact keywords.
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