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mixed-query

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HAPPIE123 / Milvus-Querying

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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.

docker-compose embeddings cosine-similarity performance-comparison similarity-search weaviate milvus vector-database sentence-transformers hugging-face mixed-query vectordatabase all-minilm-l6-v2 ivfflat
  • Updated Nov 12, 2025

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