Milvusv1.0.0

Enable users to find visually similar products by uploading an image. Use Milvus to store and search product image embeddings, powering a 'find similar' feature on e-commerce platforms.

Build a RAG pipeline by indexing enterprise documents as vector embeddings in Milvus. Use hybrid search (dense + sparse) to retrieve relevant context for LLM-based question answering.

Store user and content embeddings in Milvus to serve real-time personalized recommendations. Perform vector similarity search to match user preferences with media items.

Index transaction embeddings and use nearest neighbor search to identify suspicious patterns. Milvus enables fast similarity lookups for real-time fraud scoring.

Use Milvus RBAC to isolate data across tenants in a SaaS application. Each tenant has dedicated collections or partitions with fine-grained access control.

Offer managed Milvus instances with RBAC, scaling, and backup. Charge monthly subscription fees based on storage and query volume.

Provide a turnkey semantic search solution for enterprise content. Package Milvus with ingestion pipelines and a search UI, sold as a license or subscription.

Build a platform for companies to create custom AI assistants using RAG on their own data with Milvus. Charge per assistant deployment or per query.