Comparison of IVFFlat and HNSW Algorithms
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Updated
Oct 6, 2024 - Python
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ivfflat
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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.
python docker-compose cosine-similarity similarity-search milvus vector-database sentence-transformers hugging-face all-minilm-l6-v2 ivfflat pymilvus
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Updated
Jan 22, 2025 - Python
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
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Updated
Feb 8, 2025
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