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RAG System Design

Pro

Design retrieval-augmented generation systems for enhanced AI accuracy with custom knowledge bases

RAGArchitecture

About the RAG System Design Prompt Template

This ai & automation template assigns the AI the role of a RAG systems architect with expertise in vector databases and information retrieval, so the prompt it builds is framed by genuine subject-matter expertise rather than a generic request.

What it does: Design a complete RAG (Retrieval-Augmented Generation) system for your use case that combines efficient retrieval with accurate generation.

You fill in 10 fields (9 required, 1 optional), and SurePrompts assembles a complete, structured prompt you can paste straight into ChatGPT, Claude, or Gemini.

Generate AI prompts, model configurations, and AI-related content.

How to Use This Template

  1. 1

    Fill in Use Case

    e.g., Internal knowledge base Q&A, Document analysis system

  2. 2

    Fill in Data Source Types

    Enter the data source types for your prompt.

  3. 3

    Fill in Expected Data Volume

    Enter the expected data volume for your prompt.

  4. 4

    Fill in Vector Database Choice

    Enter the vector database choice for your prompt.

  5. 5

    Fill in Embedding Model

    Enter the embedding model for your prompt.

  6. 6

    Fill in Retrieval Strategy

    Enter the retrieval strategy for your prompt.

  7. 7

    Fill in Document Chunking Strategy

    Describe how documents will be split (e.g., by paragraph, fixed tokens, semantic boundaries)

  8. 8

    Fill in Performance Requirements

    Response time, accuracy targets, concurrent users

  9. 9

    Fill in Data Update Frequency

    Enter the data update frequency for your prompt.

  10. 10

    Fill in Security & Access Control

    Describe security, privacy, and access control needs

  11. 11

    Copy your prompt

    Click the copy button to copy your generated prompt, then paste it into your preferred AI tool.

Template Fields

Every field below maps to a part of the finished RAG System Design prompt. Required fields shape the core request; optional fields add detail and control.

Use CasetextRequired

A required input that takes a short line of text.

Example: e.g., Internal knowledge base Q&A, Document analysis system

Data Source TypesmultiselectRequired

A required input that takes one or more options from a list. Choose from 8 preset choices.

Available choices:

Documents (PDF/Word)Web PagesDatabasesAPIsCode RepositoriesEmailsChat LogsMedia Files
Expected Data VolumeselectRequired

A required input that takes one option from a list. Choose from 5 preset choices.

Available choices:

<1GB1-10GB10-100GB100GB-1TB>1TB
Vector Database ChoiceselectRequired

A required input that takes one option from a list. Choose from 8 preset choices.

Available choices:

PineconeWeaviateMilvusQdrantChromaDBFAISSElasticsearchOther/Custom
Embedding ModelselectRequired

A required input that takes one option from a list. Choose from 5 preset choices.

Available choices:

OpenAI AdaCohereSentence TransformersCustom ModelMultiple Models
Retrieval StrategymultiselectRequired

A required input that takes one or more options from a list. Choose from 6 preset choices.

Available choices:

Semantic SearchKeyword SearchHybrid SearchMulti-hop RetrievalRe-rankingQuery Expansion
Document Chunking StrategymultilineRequired

A required input that takes a longer, multi-line value.

Example: Describe how documents will be split (e.g., by paragraph, fixed tokens, semantic boundaries)

Performance RequirementsmultilineRequired

A required input that takes a longer, multi-line value.

Example: Response time, accuracy targets, concurrent users

Data Update FrequencyselectRequired

A required input that takes one option from a list. Choose from 6 preset choices.

Available choices:

Real-timeNear real-time (<1 hour)DailyWeeklyMonthlyAd-hoc
Security & Access Controlmultiline

An optional input that takes a longer, multi-line value.

Example: Describe security, privacy, and access control needs

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