workflowstacks
ai-agent

Milvus: Scalable Vector Search for AI‑Driven Apps (46k+ GitHub stars)

Accelerate AI product development with Milvus, a cloud‑native vector database that handles massive ANN queries. Ideal for founders building recommendation, RAG, or image‑search services.

From the repo · “Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search”

advanced⏱ 1-2 days💵 Free + LLM API costs
46,461 stars+62★ this week4,310 forksGoGuide quality 9/10 · reviewed Sep 29Updated 10/23/2026100% free · open source
What it is

Use Milvus to find similar data in seconds.

Real use case example

"A founder wants to add new users to a loyalty program based on their purchase history. She uses Milvus to quickly compare new users with existing members and sends personalized recommendations to those with similar buying behavior."

Best insideCodex CLIGPT (ChatGPT)Any AI Client
When to use it
  • •Building a recommendation system that requires fast and accurate similarity searches
  • •Developing a computer vision application that needs to efficiently query large datasets of image embeddings
  • •Creating a natural language processing model that requires scalable semantic search capabilities
Ready-to-paste prompt
python -c 'from milvus import Milvus, Client; client = Client(); client.connect(); client.create_collection('test'); client.insert('test', [[1.0, 2.0], [3.0, 4.0]])'
Heads up: Make sure to allocate sufficient GPU resources when running Milvus, as it requires significant GPU memory to perform efficient vector searches, and ensure that the Docker container has the necessary permissions to access the host machine's GPU
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/milvus && curl -fsSL https://workflowstacks.com/api/skills/milvus/claude-skill -o ~/.claude/skills/milvus/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Milvus: Scalable Vector Search for AI‑Driven Apps (46k+ GitHub stars) works
Codeflow
Free to inspect

Milvus: Scalable Vector Search for AI‑Driven Apps (46k+ GitHub stars) is a very large Go project (~1.5M lines across 4328 code files, plus 519 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~1.5M lines · 4328 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Go · Docker
No API keys detected
Go 58%C++ 21%Python 20%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    cmd/main.go
    Where the program starts running
  4. 4
    go.mod
    Dependencies and the commands it exposes
  5. 5
    internal/datacoord/README.md
    Inside internal/ — the main logic begins here
What's in each folder
internal/Core code — the actual logic3358 files
pkg/Core code — the actual logic759 files
client/Frontend / UI204 files
cmd/Command-line entry points89 files
docs/Documentation226 files
deployments/Folder39 files
scripts/Helper scripts39 files
ci/Folder20 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
milvus-io
Language
Go
Category
ai-agent
Published
9/16/2019

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/milvus.svg)](https://workflowstacks.com/skills/milvus?utm_source=github&utm_medium=badge)
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AI Product Description Writer

Turn a Google Sheet of product names + features into polished, conversion-focused descriptions — in bulk.

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MCP config

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Let Claude run read-only queries against your Postgres database.

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