Easy PromptAI Prompt Library

24 curated prompts

RAG Prompts

Browse RAG prompts that make retrieval-augmented generation easier to evaluate. These templates emphasize source grounding, citation discipline, conflict handling, and refusal behavior when evidence is missing, making them useful for knowledge-base QA tests and production retrieval workflows.

RAG promptsretrieval augmented generation promptsknowledge base prompts

Featured AI prompt templates

Copy-ready prompts selected from this topic cluster.

TextRAG and Knowledge Base

Deep Research Agent System Prompt

This system prompt defines the workflow for a deep research agent tasked with conducting comprehensive, multi-source research and synthesizing findings into authoritative reports. It is designed for systematic investigation of complex topics in academic or business contexts.

deep researchmulti-source analysisresearch report
Conducting background research before writing industry white papers
TextRAG and Knowledge Base

Local-First Memory Engineer Design

Design a verbatim, locally-stored, benchmark-driven memory system for long-running agents that avoids remote API dependencies in core recall, supports semantic search over hierarchical indexes, and maintains provable recall metrics.

memory systemlocal storagesemantic retrieval
Building memory layer for long-running code editing agents with precise historical decision traceability
TextRAG and Knowledge Base

Procedural Knowledge Architect

Design a 'how-to' memory layer for LLM reasoning systems that stores reusable subquestion-subroutine pairs and retrieves them during the reasoning trace to transform trajectory data into compounding assets rather than one-shot demonstrations.

procedural knowledgeRAGreasoning enhancement
Building a reusable integration-by-parts library for math solvers
TextRAG and Knowledge Base

Legal Analyst: Comprehensive Legal Research and Contract Analysis

As a senior legal analyst, conduct comprehensive legal research, contract review, compliance assessment, and litigation risk analysis using the IRAC framework to ensure rigorous conclusions with clear applicability of law, risk levels, business impact, and actionable recommendations.

legal analysiscontract reviewcompliance
Review liability clauses in a cross-border technology service agreement and assess breach risks
TextRAG and Knowledge Base

Knowledge Management Architect

A specialized architect designing enterprise systems for knowledge capture, organization, and retrieval, covering information architecture, documentation standards, AI-enhanced search, and governance strategies.

knowledge managementinformation architecturedocumentation standards
Design a unified knowledge management system for an enterprise to consolidate scattered documents
TextRAG and Knowledge Base

Compliance Auditor

A technical compliance specialist guiding organizations through security certification processes like SOC 2, ISO 27001, HIPAA, and PCI-DSS, emphasizing substantive over checkbox compliance with automated, testable controls.

compliance auditingSOC 2ISO 27001
Preparing a company for SOC 2 Type II certification with gap analysis and remediation planning
TextRAG and Knowledge Base

Legendary Leaks - Grimoire 2.9 - Recommended Tools

This prompt file lists top-tier AI and developer tools for generating AI images, creating videos, producing audio, building 3D models, coding, deployment, data analysis, and personal infrastructure, catering from beginner to professional needs.

AI ToolsImage GenerationVideo Production
Finding suitable AI image generation platforms for creative design
TextRAG and Knowledge Base

Multimodal Analyst

A multimodal analysis expert role integrating vision, text, and structured data for comprehensive reasoning, specializing in image understanding, document parsing, chart interpretation, and cross-modal consistency validation.

multimodal analysisimage understandingOCR
Analyze product labels and ingredient lists on packaging images
TextRAG and Knowledge Base

Structured Output Extractor

A professional system prompt for structured data extraction that converts unstructured text into strictly valid JSON objects conforming to a user-provided schema. Emphasizes schema compliance, type safety, missing data handling, and source fidelity.

structured extractionJSON conversiondata cleaning
Extract key information from customer support tickets and standardize storage
TextRAG and Knowledge Base

Regulatory Affairs Specialist: Global Compliance Strategy & Roadmap for AI Products

Develop a comprehensive global regulatory strategy and actionable compliance roadmap for an AI-driven product entering regulated markets, covering landscape analysis, gap assessment, pathway planning, and multi-phase execution.

Regulatory AffairsAI ComplianceGlobal Market Access
Formulate a regulatory strategy for an AI-powered diagnostic tool entering the US and EU markets
TextRAG and Knowledge Base

Knowledge Base Architect: Designing an Enterprise AI-Enhanced Knowledge Management System

Design a comprehensive knowledge base system for a large multinational manufacturing enterprise in the AI-driven landscape of 2026, addressing challenges like knowledge silos, outdated documentation, inefficient onboarding, and tacit expertise capture. Covers information architecture, content lifecycle, semantic search, knowledge graphs, and AI-assisted features with governance and accessibility.

Knowledge ManagementEnterprise ArchitectureAI Integration
Provide a self-service onboarding portal for new engineers
TextRAG and Knowledge Base

Investment Research Analyst Report Generation

Generate a structured investment research report on a company, covering business model, financial health, competitive landscape, valuation analysis, and investment recommendation for professional investor decision support.

investment analysisresearch reportvaluation modeling
Generating deep-dive equity research for institutional investors

What should a RAG prompt specify?

It should define the evidence boundary, citation format, fallback behavior, and how to respond when retrieved context is insufficient.

Are these prompts useful for RAG evaluation?

Yes. Many are designed to test citation quality, factual consistency, and conflict handling.

Can these templates reduce hallucinations?

They help by making evidence rules explicit, but retrieval quality and evaluation still matter.