Below you will find pages that utilize the taxonomy term “RAG”
Posts
Vector Database Guide
Table of Contents
- What is a Vector Database?
- Core Concepts
- How Vector Search Works
- Choosing a Vector Database
- Getting Started
- Embedding Models
- Indexing & Storage
- Querying & Filtering
- RAG: Retrieval-Augmented Generation
- Performance Tuning
- Security Considerations
- Real-World Examples
What is a Vector Database?
A vector database is a database optimized for storing and searching high-dimensional numerical vectors — called embeddings — that represent the semantic meaning of data (text, images, audio, etc.).