How to use Milvus to Store and Query Vector Embeddings
This blog post explores Milvus, an open-source vector database, and demonstrates its usage in Python for advanced vector search applications. Focusing on a practical example, we delve into creating collections in Milvus, generating text embeddings using a pre-trained model, and conducting vector searches. The post is designed for intermediate Python users interested in leveraging vector databases for efficient and scalable search functionality in AI applications. It's a guide through the process of integrating Milvus with natural language processing techniques for sophisticated data handling.
Tags: vectorsearch, python, milvus, nlp