Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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Updated
Apr 14, 2026 - Go
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/
PostgreSQL vector database extension for building AI applications
RAG Time: A 5-week Learning Journey to Mastering RAG
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes. Then, adding intelligent features like schemas, managed embeddings, LLM reranking+inferrence, GPU accel, Auto-TLP, Memory Decay, and MCP server.
一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !
Visualize hnsw, faiss and other anns index
Fast, SQL powered, in-process vector search for any language with an SQLite driver
Fast approximate nearest neighbor searching in Rust, based on HNSW index
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
Lightweight Nearest Neighbors with Flexible Backends
Graph-based Approximate Nearest Neighbor Search
Client Side Vector Database
📚 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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