# Milvus (/docs/coreai/components/milvus)



Component Category [#component-category]

Vector database

Component Description [#component-description]

Milvus is the vector database used by CoreAI for storing embeddings and supporting semantic retrieval workflows. It is built for large-scale vector search and similarity matching across embedding-driven applications.

Why It Is Used [#why-it-is-used]

It provides the vector storage and similarity search capabilities needed for retrieval-augmented generation and other embedding-based experiences. This makes it a strong fit for semantic search, knowledge retrieval, and other AI patterns that depend on fast nearest-neighbor queries over embedding data.

Learn More [#learn-more]

* [Milvus Documentation](https://milvus.io/docs)
* [Milvus on GitHub](https://github.com/milvus-io/milvus)

Interacts With [#interacts-with]

* `CoreAI API` for vector queries and retrieval logic
* `Docling` and related processing flows whose outputs feed vector workflows
* `LiteLLM` or embedding-producing model flows upstream of storage
* `MinIO` as part of the surrounding storage setup used by the deployed service
* `CoreAI Web Portal` where vector store capabilities may be configured or consumed