Back to Glossary
Artificial Intelligence
Vector Database
A vector database stores and queries high-dimensional vectors for AI similarity search.
Definition
A vector database is a specialized database designed to store, index, and query high-dimensional vectors (embeddings) generated by AI models. Vector databases are essential for: (1) Semantic search — finding similar content, (2) RAG — retrieving relevant documents for LLMs, (3) Recommendation systems — finding similar products/users, (4) Image search — finding visually similar images. Popular vector databases include Pinecone, Weaviate, Milvus, Qdrant, and pgvector. Harch Corp provides optimized infrastructure for vector database workloads alongside GPU cloud.
Related Keywords
vector databasevector dbpineconeweaviatemilvusembedding database
Related Terms
RAG (Retrieval-Augmented Generation)
RAG combines a retrieval system with an LLM to ground responses in external knowledge.
Large Language Model (LLM)
An LLM is an AI model trained on massive text data to understand and generate human language.
AI Inference
AI inference is the process of using a trained model to make predictions on new data.