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Milvus-Querying

This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, salaries, addresses and their introductions) and enable searching and querying on the database contents using Cosine-Similarity distances on IVF Flat index.

all-minilm-l6-v2 cosine-similarity docker-compose embeddings hugging-face ivfflat milvus mixed-query performance-comparison sentence-transformers

Creat：2025-01-25T19:17:04

Update：2025-03-24T00:38:08

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