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Milvus

Appears in 14 awesome lists

Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.

Open github.commilvus-io/milvus

Found in these lists

Awesome Ai Agents 2026

Section: RAG and Knowledge Bases · Cloud-native vector DB. Billion-scale.

ActiveScore 74

Awesome Big Data

Section: Vector Databases · open-source vector database for scalable similarity search.

ActiveScore 84

Awesome Cloud Native

Section: Databases · Vector database for scalable similarity search and AI applications.

FreshScore 87

Awesome Generative AI Data Scientist

Section: Vector Databases (RAG) · Milvus is an open-source vector database built to power embedding similarity search and AI applications.

SlowScore 52

Awesome Go

Section: Databases Implemented in Go · Milvus is a vector database for embedding management, analytics and search.

FreshScore 94

Awesome Go

Section: Go中实现的数据库 · star:42514 Milvus是一个矢量数据库,用于嵌入管理、分析和搜索。

FreshScore 89

Awesome LLMOps

Section: Vector search · Vector database for scalable similarity search and AI applications.

ActiveScore 75

Awesome MLOps

Section: Data Management · An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.

FreshScore 80

Awesome Open Source AI

Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · Scalable cloud-native vector database.

FreshScore 89

Awesome Ops

Section: vector-database · 一个云原生向量数据库,为下一代人工智能应用提供存储

ActiveScore 79

Awesome Production Machine Learning

Section: Data Storage Optimisation · Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.

FreshScore 92

Awesome Vector Search

Section: Standalone Service

ActiveScore 73

go-awesome

Section: 数据库 · 向量数据库

StaleScore 56

awesome-go

Section: Other · Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

FreshScore 81

Mem0

Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin

In 13 listsDetails

TiDB

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

In 10 listsDetails

Infinity

AI-native database built for LLM applications with incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. Powers RAGFlow's document engine. Apache 2.0 licensed.

In 9 listsDetails

Qdrant

Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud

In 8 listsDetails

Pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Features 350+ connectors with always-in-sync data from SharePoint, Google Drive, S3, Kafka, PostgreSQL and more. BSL 1.1 license (becomes Apache 2.0 after 4 years).

In 8 listsDetails

Chroma

An open-source embedding database for building AI applications with embeddings and semantic search.

In 8 listsDetails

cockroach

CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.

In 8 listsDetails

Pinecone

The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

In 8 listsDetails