Flowchart Updated 8/29/2026

RAG Pipeline Architecture

Flowchart of a retrieval-augmented generation pipeline: documents are loaded, chunked, embedded, and stored in a vector database, then a user question is retrieved, re-ranked, added to a prompt, and answered by an LLM.

ragretrieval pipelinevector databaseembeddingsllm
9 nodes 10 connections

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