When to Choose In-Memory RAG vs. Vector Database Services
· 10 min read
Retrieval Augmented Generation (RAG) lets you enrich LLM prompts with your own knowledge base. You embed documents into vectors and search them at runtime to pull in context. The question is: do you really need an external vector database? If you're just experimenting or working with small datasets, keeping everything in memory might be all you need.