Qdrant is a vector database and a similarity search engine. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
In this basic tutorial, you will use Qdrant to generate semantic search results and recommendations from a sample dataset.
This tutorial is available as a document on our Documentation page: https://qdrant.tech/documentation/tut...
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