hnsw

15 proyectos comparten este topic de GitHub

hnsw — milvus ★45.4khnswqdrant — ★33.6kweaviate — ★16.7kzvec — ★15.3kinfinity — ★4.7kseekdb — ★2.9khora — ★2.7kendee — ★1.3krag-time — ★895NornicDB — ★835caiss — ★549easy-vecdb — ★375knowhere — ★372vectorlite — ★361vicinity — ★349qdrant★ 33.6kweaviate★ 16.7kzvec★ 15.3kinfinity★ 4.7kseekdb★ 2.9khora★ 2.7kendee★ 1.3krag-time★ 895NornicDB★ 835caiss★ 549easy-vecdb★ 375knowhere★ 372vectorlite★ 361vicinity★ 349

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros
milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
★ 45.4k
qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of…
★ 33.6k
weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination…
★ 16.7k
zvec
A lightweight, lightning-fast, in-process vector database
★ 15.3k
infinity
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector,…
★ 4.7k
seekdb
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and…
★ 2.9k
hora
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
★ 2.7k
endee
Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node,…
★ 1.3k
rag-time
RAG Time: A 5-week Learning Journey to Mastering RAG
★ 895
NornicDB
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph…
★ 835
caiss
一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句…
★ 549
easy-vecdb
📚 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.c…
★ 375
knowhere
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
★ 372
vectorlite
Fast, SQL powered, in-process vector search for any language with an SQLite driver
★ 361
vicinity
Lightweight Nearest Neighbors with Flexible Backends
★ 349
🔗 Familias relacionadas

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.