developer-roadmap/roadmaps/forward-deployed-engineer/content/vector-dbs@N5MPa9HqtdcZeF0wtLMVu.md

Vector DBs

Vector databases store high-dimensional vector embeddings and support efficient similarity search. They are a core component of RAG systems and semantic search applications, where the goal is to find content semantically similar to a query rather than matching keywords exactly.

Visit the following resources to learn more:

• @article@What is RAG (Retrieval-Augmented Generation)?
• @article@How to Implement Graph RAG Using Knowledge Graphs and Vector Databases
• @video@Complete RAG Tutorial