Managed Vector Database
A managed vector database for AI/ML applications including semantic search, recommendation systems, and RAG (Retrieval Augmented Generation) pipelines.
0
70High
Side Project3-6 monthsThe Problem
Vector databases are critical infrastructure for modern AI applications. Pinecone and other US providers dominate this emerging market, creating dependency for European AI workloads.
Foreign Dominators
US-based services that currently dominate this space, exposing European users to CLOUD Act jurisdiction.
Build This
Complexity
Side ProjectTime to MVP
3-6 months
Technical Challenges
- *Efficient approximate nearest neighbor search
- *High-dimensional indexing (HNSW, IVF)
- *Metadata filtering with vector search
- *Scaling to billions of vectors
- *Integration with LLM frameworks
Potential Business Models
SaaSOpen Corecloud-hosting
Building Blocks (Open Source)
QdrantMilvusWeaviateChromaDBpgvector