How to Build a RAG Application: Step-by-Step Tutorial with Gemini and pgvector
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To build a RAG app, extract text from your documents, split it into chunks, embed each chunk, store the vectors in a database like Postgres with pgvector, then for each question retrieve the closest chunks and ask an LLM to answer only from them with citations. This tutorial does all of that on a f…
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- 2026-10-19 09:43 · DEV Community — AI
How to Build a RAG Application: Step-by-Step Tutorial with Gemini and pgvector