Milvus

Component Category

Vector database

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

In BullSequana AI, Milvus provides the vector storage and similarity search capabilities needed for retrieval-augmented generation and other embedding-based experiences. It supports semantic search, knowledge retrieval, and other AI patterns that depend on fast nearest-neighbor queries over embedding data.

Learn More

• Milvus Documentation
• Milvus on GitHub

Interacts With

• CoreAI API, for vector queries and retrieval logic.
• Kafka (Strimzi), which provides the message queue backend for Milvus (3 replicas).
• OAuth2 Proxy, which protects the Attu administration UI with Keycloak SSO.
• Docling, whose document processing outputs feed vector embedding workflows.
• LiteLLM, for embedding-producing model flows upstream of storage.
• CoreAI Web Portal, where vector store capabilities are configured and consumed.