# Scale agent retrieval workloads with Milvus

> Use Milvus to create vector collections, ingest embeddings, and serve filtered similarity search for RAG and agent retrieval workloads.

- Skill: `agentskillexchange/scale-agent-retrieval-workloads-with-milvus` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/scale-agent-retrieval-workloads-with-milvus`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/scale-agent-retrieval-workloads-with-milvus/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/scale-agent-retrieval-workloads-with-milvus

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# Scale agent retrieval workloads with Milvus

Use Milvus to create vector collections, ingest embeddings, and serve filtered similarity search for RAG and agent retrieval workloads.

## Prerequisites

Milvus, embedding model, agent or RAG application

## Installation

Use the upstream install or setup path that matches your environment:
- $ pip install -U pymilvus
- CMake: >= 3.26.4 && CMake < 4
- $ git clone https://github.com/milvus-io/milvus.git
- $ make

Requirements and caveats from upstream:
- <a href="https://milvus.io/docs/install_standalone-docker.md"><img src="https://img.shields.io/docker/pulls/milvusdb/milvus" alt="docker-pull-count"/></a>
- python
- This installs pymilvus, the Python SDK for Milvus. Use MilvusClient to create a client:

Basic usage or getting-started notes:
- 🧑‍💻 Written in Go and C++, Milvus implements hardware acceleration for CPU/GPU to achieve best-in-class vector search performance. Thanks to its [fully-distributed and K8s-native architecture](https://milvus.io/docs/o...
- from pymilvus import MilvusClient
- You can also try Milvus Lite for quickstart by installing pymilvus[milvus-lite]. To create a local vector database, simply instantiate a client with a local file name for persisting data:

- Source: https://github.com/milvus-io/milvus
- Extracted from upstream docs: https://raw.githubusercontent.com/milvus-io/milvus/HEAD/README.md

## Documentation

- https://github.com/milvus-io/milvus

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/scale-agent-retrieval-workloads-with-milvus/)