Natural Language Processing with Qdrant for Vector Similarity Search
In this tutorial, you will learn about how to get started with Qdrant and text data. In particular, you will learn about how to create vector embeddings from text data and add them to Qdrant to conduct similarity search, and to provide recommendations based on the context of each document in our corpus. GitHub Link: https://t.ly/Keh9
This tutorial is also available as a document on our Documentation page: https://qdrant.tech/documentation/tut...