01
AI Agents
What Are the Pitfalls of Building an Enterprise Knowledge Graph?
Enterprise knowledge graph projects fail across three fronts: organizational, technical, and economic. See the named failure patterns and how to avoid them.
Contributing author
Karthik Pasupathy
Contributing Writer — AI Context & Agents
Karthik Pasupathy is a product marketer and the founder of Rampkit, with over a decade spent helping B2B SaaS and AI-infrastructure companies explain complex products to enterprise buyers and practitioners. He has led marketing for early-stage companies across FinTech, CCaaS, and mortgage technology. At Atlan, he writes on AI context, agentic systems, and RAG metadata.
/ Profile
About Karthik.
Karthik Pasupathy is a technical writer turned product marketer and founder of Rampkit, where he helps technical B2B SaaS and AI infrastructure companies explain complex products to the people they are built for. His work sits at the intersection of content, product understanding, and market education — turning dense technical ideas into clear narratives for enterprise buyers, practitioners, and technical decision-makers.
Over the last decade, Karthik has worked with SaaS companies across AI infrastructure, DevOps, APIs, FinTech, CCaaS, mortgage technology, and enterprise software. His writing focuses on helping teams communicate why their product matters, how it fits into a larger technical workflow, and what problems it solves for specific user personas.
His current work explores AI context, agentic systems, RAG metadata, and how enterprises can make AI outputs more relevant, grounded, and useful. He brings a content-first lens to technical topics without stripping away the nuance that makes them valuable.
Press, talks & code
Recent articles by Karthik Pasupathy.
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- 02AI Agent Registries
Agent Registry vs. MCP Registry: Catalog vs. Protocol
See how an agent registry differs from an MCP registry, why AWS Agent Registry treats MCP servers as a record type, and why registered doesn't…
- 03AI Agent Evaluation and Testing
Context Evals vs. Data Quality Testing for AI Agents
Compare context evals with data quality testing to see what each one catches, and learn how to build both into a reliable AI agent testing…
- 04AI Agent Context Layer
AI Platform Lock-In Risk: What Context Lock-In Costs You
See what drives AI platform lock-in risk, what switching between models or platforms actually costs, and how a neutral context layer keeps the exit open.
- 05AI Agents
RAG Knowledge Engineering Framework Explained
A RAG knowledge engineering framework covers chunking, embeddings, GraphRAG, and context enrichment, tested so production RAG answers stay reliable.
- 06Context Layer
How to Reduce Tribal Knowledge in Engineering Teams
Reduce tribal knowledge in engineering teams by mining lineage, SQL history, and usage patterns into context that new engineers and AI agents can both use.
- 07AI Agent Evaluation and Testing
Context Simulation vs. Manual QA: When Each Works for AI Agents
Compare context simulation and manual QA for AI agents using scenario volume, failure stakes, coverage, and human judgment in production testing.
- 08AI Agent Skills
Custom vs Public Agent Skills: A Decision Framework
Use Atlan's framework to choose a public, adapted, or custom AI agent skill based on workflow fit, risk, ownership, licensing, and drift over time.
- 09Knowledge Graphs for AI Agents
Active vs. Static Knowledge Graph: What's the Difference?
Compare active and static knowledge graphs for AI agents. See why freshness architecture affects hallucination rates and how to evaluate mutability.
- 10AI Agent Architecture
ReAct vs. Plan-and-Execute: Two Agent Architectures
Compare ReAct and Plan-and-Execute across adaptability, token cost, latency, failure modes, and the enterprise context both require to work correctly.
- 11AI Agent Memory
How AI Agents Read and Write Memory: The Mechanics
How do AI agents read and write memory? Learn the mechanics behind short-term, long-term, episodic, and semantic memory, and why context matters.
- 12AI Agent Guardrails
Are Agent Skills Safe for Enterprise? Yes, With a Context Layer
Agent skills can be safe for enterprise use when governed well. Learn the real risks, the controls that work, and why every skill needs its…
Transparency
Editorial relationship
Freelance contributor agreement
Karthik contributes to Atlan as an independent consultant under a freelance content agreement. He reviews and approves every article published under his byline before publication. Atlan does not pay for placement of any external coverage.
Reach Karthik