NanoDB

Lantern is a multimodal vector database supporting text, image, and video vectors for fast similarity search across media types. It features multi-modal indexing, fusion techniques, and GPU acceleration with disk persistence. Ideal for CV+text search and multimedia recommendations; provides multimodal capabilities beyond text-only databases like pgvector.

Python framework for AI Engineers building high-performance search and recommendation applications that combine structured and unstructured data through vector compute.

Milvus is an open-source vector database designed for scalable similarity search on massive datasets, supporting billions of vectors with high performance. Key features include distributed architecture, support for multiple indexes like HNSW and IVF, hybrid search, and integrations with popular ML frameworks. Ideal for RAG pipelines, recommendation systems, and AI agents; self-hosted alternative to managed services like Pinecone with better cost control for large-scale deployments.