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Found 9 articles in AI Engineering
AI Agent Memory Architecture: Build Reliable, Stateful Systems
01AI Engineering
Jul 21, 20269 min read

AI Agent Memory Architecture: Build Reliable, Stateful Systems

Building truly intelligent AI agents for production demands more than just large language models; it requires a robust memory architecture. Learn how to move beyond fleeting context windows to create stateful, reliable systems that can reason, adapt, and perform complex tasks over time.

KE
Krapton Engineering
Read →
AI Agent Guardrails: Building Safe, Reliable Production Workflows
02AI Engineering
Jul 19, 202610 min read

AI Agent Guardrails: Building Safe, Reliable Production Workflows

Deploying AI agents in production demands more than just clever prompts; it requires robust guardrails to prevent unintended actions, ensure data privacy, and maintain operational integrity. Discover how to engineer multi-layered safety systems for your enterprise AI workflows.

KE
Krapton Engineering
Read →
AI Agent Persistent Memory: Building Stateful, Reliable Agents
03AI Engineering
Jul 8, 202610 min read

AI Agent Persistent Memory: Building Stateful, Reliable Agents

Building AI agents that remember, learn, and adapt beyond single interactions is crucial for real-world utility. This guide explores architectural patterns for AI agent persistent memory, from ephemeral context windows to robust long-term storage, ensuring your agents deliver continuous value in production.

KE
Krapton Engineering
Read →
Secure AI Agent Data Access: Engineering Precision & Trust
04AI Engineering
Jul 7, 202610 min read

Secure AI Agent Data Access: Engineering Precision & Trust

As AI agents move from demos to production, ensuring secure and precise interaction with sensitive enterprise data becomes paramount. Discover how to architect robust LLM systems that maintain data integrity, adhere to compliance, and prevent costly errors in complex workflows.

KE
Krapton Engineering
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Beyond Automation: How Krapton is Architecting the Agentic AI Future 2026
05AI Engineering
Jul 1, 20261 min read

Beyond Automation: How Krapton is Architecting the Agentic AI Future 2026

In 2026, AI is moving from simple chatbots to autonomous agents. Discover how Krapton IT Consultancy Pvt Ltd is leveraging AI to build self-optimizing systems that drive enterprise growth.

KE
Krapton Engineering
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Reliable Structured Outputs: Guarantees for Production LLMs
06AI Engineering
Jun 30, 20267 min read

Reliable Structured Outputs: Guarantees for Production LLMs

Stop relying on fragile regex parsers. Discover how to enforce reliable structured outputs in production LLM applications using native JSON schemas, Pydantic, and grammar-guided generation.

KE
Krapton Engineering
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LLM Gateway Architecture: Designing for Cost and Latency
07AI Engineering
Jun 27, 20267 min read

LLM Gateway Architecture: Designing for Cost and Latency

Building production AI apps requires more than raw LLM calls. Learn how a robust LLM gateway architecture manages prompt caching, model routing, and fallbacks to control costs.

KE
Krapton Engineering
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Architecting Production AI Agents: Reliability, Tool Use, & Persistence
08AI Engineering
Jun 20, 20269 min read

Architecting Production AI Agents: Reliability, Tool Use, & Persistence

Building AI agents that reliably perform complex tasks in production requires more than chaining LLM calls. Discover the architectural patterns, tool integration strategies, and memory management techniques essential for enterprise-grade AI agents.

KE
Krapton Engineering
Read →
Production RAG Architecture: Building Robust LLM Applications
09AI Engineering
Jun 20, 202610 min read

Production RAG Architecture: Building Robust LLM Applications

Deploying large language models (LLMs) in production requires more than just prompt engineering. Robust Retrieval-Augmented Generation (RAG) architecture is crucial for delivering accurate, context-aware, and cost-effective AI applications that perform reliably under real-world loads.

KE
Krapton Engineering
Read →
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