How do I use this AI/ML AI prompt?

Simply copy the prompt text by clicking the 'Copy Prompt' button, then paste it into your AI tool (ChatGPT, Claude, Gemini, etc.). You can customize any variables or placeholders to match your specific needs before submitting.

Which AI models work with this prompt?

This prompt is compatible with all major AI models including ChatGPT (GPT-3.5, GPT-4), Claude (Anthropic), Google Gemini, Perplexity, and other language models. The prompt structure is universal and works across platforms.

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AI/ML

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AI Prompt for

RAG pipeline architecture diagram

💡 USAGE TIPS

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🧠 ML Expert Guidance

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Define data structure clearly

Specify JSON format, CSV columns, or data schemas

Mention specific libraries

PyTorch, TensorFlow, Scikit-learn for targeted solutions

Clarify theory vs. production

Specify if you need concepts or deployment-ready code

Pro tip: The more context you provide, the better your results!

ACTUAL PROMPT BELOW

PROMPT

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Professional diagram following Retrieval Augmented Generation architecture. Components: 1. Document Loader -> Splitting -> Embeddings. 2. Vector DB Storage. 3. Query Rewrite -> Retrieval -> Re-ranking. 4. Contextual Prompt -> LLM Generation. Use blue/violet gradients and high-quality technical icons.

Disclaimer: AI models can hallucinate. Please verify this prompt's output before use. PromptsVault AI is not responsible for AI-generated content.

Related Tags

#rag #llm #architecture #vector-db

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