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2 articles
Tools5 min5 min read
Building a small RAG system: what you actually need
A RAG system sounds like heavy infrastructure. For a small project, four building blocks are enough: documents, an embedding model, a vector database, and a language model. Here's how they fit together conceptually, using Google Gemini and ChromaDB.
Tools3 min3 min read
RAG in practice: why retrieval matters more than the model
Most disappointing knowledge assistants do not have a model problem. They simply retrieve the wrong documents — which is measurable and fixable.
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