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milvus-skill

Operate Milvus vector databases with Python code

Operates Milvus vector databases through the pymilvus Python SDK, covering connections, collections, vector search, and indexing. Eliminates guesswork around schemas, embedding models, and connection setup by enforcing correct patterns and real vectors. Speeds up building RAG pipelines, semantic search, and hybrid search with ready-made code examples and reference docs.
npx skills add zilliztech/milvus-skill --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install milvus-skill?โ–ผ

Run `npx skills add zilliztech/milvus-skill --all -g -y` in your terminal to install this skill globally.

What can I do with the Milvus skill?โ–ผ

You can connect to Milvus, create collections, insert and search vectors, run hybrid and full-text search, and manage indexes, partitions, databases, and user roles through Python code.

Does it work with Zilliz Cloud and local Milvus?โ–ผ

Yes. It supports Milvus Lite for local development, self-hosted Standalone or Cluster deployments, and managed Zilliz Cloud endpoints.

Can it help build a RAG pipeline?โ–ผ

Yes. The included patterns reference covers RAG, semantic search, hybrid search with reranking, and BM25 full-text search using real embedding models.

What do I need before using this skill?โ–ผ

You need Python 3.8 or later, the pymilvus package installed, and a running Milvus instance or Milvus Lite for local testing.

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