Vector Database
A vector database is a specialized database system that stores high-dimensional numerical vectors (embeddings) and enables lightning-fast similarity searches. Instead of exact key lookups, it finds semantically related content — the technical foundation for RAG systems, semantic search, and AI-powered knowledge platforms in enterprises.
Why does this matter?
Vector databases are the key to making enterprise knowledge accessible to AI. Manuals, contracts, emails — everything is indexed as vectors and searchable by meaning in milliseconds. Without a vector database, no RAG system, no intelligent customer support, and no knowledge-based AI agent can function.
How IJONIS uses this
We deploy pgvector for PostgreSQL-based stacks, Pinecone for managed cloud scenarios, and Qdrant for on-premise requirements. The choice depends on data volume, latency requirements, and GDPR constraints. Our indexing pipelines automatically keep your vectors current when source data changes.