📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/
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Apr 30, 2026 - Jupyter Notebook
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ivfflat
Here are 8 public repositories matching this topic...
NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.
postgres machine-learning sql database ai postgresql embeddings full-text-search knn similarity-search postgres-extension rag hnsw vector-search vector-database hybrid-search generative-ai ivfflat
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May 4, 2026 - C
ANN search in high dimensions!
clustering nearest-neighbor-search approximate-nearest-neighbor-search hypercube lsh-algorithm ivfpq ivfflat
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Feb 25, 2026 - C++
A C++ implementation of efficient Nearest Neighbor search algorithms (LSH, Random Projection Hypercube, IVFFlat, and IVFPQ) optimized for high-dimensional datasets like SIFT and MNIST.
cpp lsh nearest-neighbor-search mnist locality-sensitive-hashing sift product-quantization hypercube similarity-search random-projection vector-search ivfpq ivfflat
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Jan 14, 2026 - C++
Comparison of IVFFlat and HNSW Algorithms
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Oct 6, 2024 - Python
Learn RAG retrieval with PostgreSQL + pgvector: ingest, similarity search, and safe runtime tuning (HNSW/IVFFlat) — runnable in Docker, no LLM API keys.
python similarity-search potgresql rag hnsw fastapi vector-search pgvector retrieval-augmented-generation ivfflat
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May 3, 2026 - 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.
python docker-compose cosine-similarity similarity-search milvus vector-database sentence-transformers hugging-face all-minilm-l6-v2 ivfflat pymilvus
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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.
python docker-compose cosine-similarity similarity-search huggingface milvus vector-database sentence-transformers all-minilm-l6-v2 ivfflat pymilvus
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Jan 22, 2025 - Python
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