Retrieval-Augmented Generation pipeline
Landscape 16:9 academic systems diagram of a RAG pipeline, 6-stage left-to-right flow. (1) 'User query' box with placeh...
Landscape 16:9 academic systems diagram of a RAG pipeline, 6-stage left-to-right flow. (1) 'User query' box with placeholder text 'What are the side effects of drug X?' and a small user silhouette. (2) Hexagonal 'Embedding encoder (BERT-style)', caption 'dense vector d=768'. (3) Stylised database cylinder 'Vector store' with 'Index: 1.2M chunks'; arrow from (2) labeled 'kNN, k=5'. (4) 'Retrieved passages' — stack of 5 doc thumbnails; caption 'top-k chunks + metadata'. (5) Hexagonal hub 'Frozen LLM'; long curved arrow from (1) labeled 'original query' also lands here; arrow from (4) labeled 'retrieved context'. (6) 'Grounded answer' with inline marker '[cite: doc#47]'; caption 'with source citations'. Dashed outline around (2)-(3) labeled 'OFFLINE — built once'. Dashed outline around (4)-(5) labeled 'ONLINE — per query'. Title: 'Retrieval-Augmented Generation pipeline'. Subtitle: 'Lewis et al., 2020'.
- Model
- GPT-Image-2
- Aspect ratio
- 16:9
- Resolution
- 2K
- Best for
- Educational content, data storytelling
How this prompt is composed — each chip is one phrase. Mix, swap, or remove chips to make the look your own.
- Landscape 16:9 academic systems diagram of a RAG pipeline
- 6-stage left-to-right flow. (1) 'User query' box with placeholder text 'What are the side effects of drug X?' and a small user silhouette. (2) Hexagonal 'Embedding encoder (BERT-style)'
- caption 'dense vector d=768'. (3) Stylised database cylinder 'Vector store' with 'Index: 1.2M chunks'
- arrow from (2) labeled 'kNN
- k=5'. (4) 'Retrieved passages' — stack of 5 doc thumbnails
- caption 'top-k chunks + metadata'. (5) Hexagonal hub 'Frozen LLM'
- long curved arrow from (1) labeled 'original query' also lands here
- arrow from (4) labeled 'retrieved context'. (6) 'Grounded answer' with inline marker '[cite: doc#47]'
- caption 'with source citations'. Dashed outline around (2)-(3) labeled 'OFFLINE — built once'. Dashed outline around (4)-(5) labeled 'ONLINE — per query'. Title: 'Retrieval-Augmented Generation pipeline'. Subtitle: 'Lewis et al.
- 2020'.
One click to remix this prompt with a different look or aspect ratio.
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Frequently asked questions
Which AI model is used?
All templates on this page are designed for and tested with GPT-Image-2. You can copy the prompt and run it elsewhere, but quality and text rendering may vary on other models.
How does the Remix button work?
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Why does my generation look different from the preview?
Every run is a fresh generation — variations in composition, lighting, and detail are expected. To stay closer to the preview, keep the prompt verbatim, lock the same aspect ratio, and run a few seeds.
Can I tweak the prompt?
Absolutely — that's the point. Use the Prompt structure card below to see how the prompt is composed, then add, remove, or swap phrases to dial in your own look.