Evidence-grounded answers
Prompts that require answers to stay inside retrieved context and cite supporting passages.
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
Conflicts and missing context
Templates for conflicting documents, unknown facts, and clarification requests.
Policy and extraction tasks
Prompts for structured extraction from policy text and knowledge-base material.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.