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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.

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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 Prompt for

LlamaIndex document indexing RAG

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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!

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PROMPT

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Build RAG systems with LlamaIndex. Workflow: 1. Load documents (PDF, DOCX, web). 2. Node parser for chunking. 3. Create embeddings with LLM. 4. Build index (Vector, Tree, Keyword). 5. Query engine for retrieval. 6. Response synthesizer. 7. Sub-question query engine. 8. Chat engine for conversations. Use ServiceContext for configuration and implement hybrid retrieval.

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

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