AI Infrastructure
Vector Database
- Definition
- Specialized database for high-dimensional vectors (embeddings). Enables semantic similarity search instead of exact keyword matches. Core infrastructure for RAG, recommendation systems, and multimodal search. Leading solutions: Pinecone, Weaviate, Qdrant, Chroma, pgvector.
- Category
- AI Infrastructure
- Related terms
- RAG (Retrieval-Augmented Generation)Embedding
Deep Dive: Vector Database
Specialized database for high-dimensional vectors (embeddings). Enables semantic similarity search instead of exact keyword matches. Core infrastructure for RAG, recommendation systems, and multimodal search. Leading solutions: Pinecone, Weaviate, Qdrant, Chroma, pgvector.
Business Value & ROI
Why it matters for 2026
Makes your unstructured data (documents, images, audio) searchable by meaning, not just keywords.
We choose the right vector database based on your use case: Pinecone for scale, pgvector for PostgreSQL integration, Chroma for rapid prototyping.
Production-Ready Guardrails