Milvus

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Official repository stars

Collecting

Star growth needs repository snapshots 30 days apart.46,301 stars now

Member repository stars

Collecting

Star growth needs repository snapshots 30 days apart.0 new members in 30 days

Package adoption

—Not published by its registries

Its packages’ registries publish no adoption figure, so there is nothing to grow.

Open models

—No official models

No official model on Hugging Face, so this signal does not apply.

News

Collecting

News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of Milvus’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of Milvus’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days

0published events that mention it

Events · 30 days

0published events that mention it

Previous 30 days

0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

• milvus-io/milvus

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

  Official repositoryGo

  46.3K stars

Members 13repositories tagged with one of its aliases, most-starred first

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Tagged milvusPython

  38.7K stars

• APIJSON/APIJSON

  🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构

  Tagged milvusJava

  18.4K stars

• langchain4j/langchain4j

  LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

  Tagged milvusJava

  13.2K stars

• datawhalechina/all-in-rag

  🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

  Tagged milvusPython

  11.6K stars

• zilliztech/deep-searcher

  Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

  Tagged milvusPython

  8.3K stars

• zilliztech/GPTCache

  Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

  Tagged milvusPython

  8.2K stars

• xerrors/Yuxi

  可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

  Tagged milvusPython

  7.3K stars

• soruly/trace.moe

  Timestamp Retrieval for Anime Clips Everywhere

  Tagged milvus

  5K stars

• towhee-io/towhee

  Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

  Tagged milvusPython

  3.5K stars

• zilliztech/attu

  The Best GUI for Milvus

  Tagged milvusShell

  3.2K stars

• zilliztech/memsearch

  A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

  Tagged milvusPython

  2.7K stars

• milvus-io/bootcamp

  Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

  Tagged milvusJupyter Notebook

  2.4K stars

Packages

“Is” packages are Milvus itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 1the technology itself, most-adopted first

• pymilvus

  Python SDK for Milvus

  Listed in the catalogPyPI

  —Not published by PyPI

Ecosystem 12packages that depend on it, most-adopted first

• autorag

  Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.

  Depends on pymilvusPyPI

  —Not published by PyPI
• deepsearcher

  None

  Depends on pymilvusPyPI

  —Not published by PyPI
• dynamiq

  Dynamiq is an orchestration framework for agentic AI and LLM applications

  Depends on pymilvusPyPI

  —Not published by PyPI
• langbot

  Production-grade platform for building agentic IM bots

  Depends on pymilvusPyPI

  —Not published by PyPI
• langchain-milvus

  An integration package connecting Milvus and LangChain

  Depends on pymilvusPyPI

  —Not published by PyPI
• llama-index-vector-stores-milvus

  llama-index vector_stores milvus integration

  Depends on pymilvusPyPI

  —Not published by PyPI
• nvidia-nat-core

  Core library for NVIDIA NeMo Agent Toolkit

  Depends on pymilvusPyPI

  —Not published by PyPI
• omagent-core

  Core package for OmAgent

  Depends on pymilvusPyPI

  —Not published by PyPI
• paddle-pipelines

  Paddle-Pipelines: An End to End Natural Language Proceessing Development Kit Based on PaddleNLP

  Depends on pymilvusPyPI

  —Not published by PyPI
• rasa-pro

  State-of-the-art open-core Conversational AI framework for Enterprises that natively leverages generative AI for effortless assistant development.

  Depends on pymilvusPyPI

  —Not published by PyPI
• trustrag

  RAG Framework within Reliable input,Trusted output

  Depends on pymilvusPyPI

  —Not published by PyPI
• vectordb-bench

  VectorDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go-to tool for the ultimate performance and cost-effectiveness comparison. Designed with ease-of-use in mind, VectorDBBench is devised to help users, even non-professionals, reproduce results or test new systems, making the hunt for the optimal choice amongst a plethora of cloud services and open-source vector databases a breeze.

  Depends on pymilvusPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions Milvus yet.