2 docs tagged with "AI Infrastructure"

Embedding Models for RAG Systems: Choosing the Right Model for Semantic Retrieval

Learn how embedding models work in RAG systems, compare popular embedding models, and understand how model choice impacts retrieval quality, latency, multilingual support, and production AI performance.

Vector Database Explained: How Embeddings Are Stored and Searched in RAG Systems

Learn what vector databases are, how they store embeddings, and how similarity search enables scalable retrieval in modern RAG and LLM applications.