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Found 19 articles in AI Engineering

Mastering AI Agent Workflow Orchestration for Production

01AI Engineering

Aug 29, 20269 min read

Mastering AI Agent Workflow Orchestration for Production

As AI agents transition from demos to critical operations, effective workflow orchestration is paramount. This guide explores architectural patterns and best practices for building production-ready AI agent workflows that deliver reliability, auditability, and seamless integration.

Krapton Engineering

Mastering LLM Hallucination Detection for Production AI

02AI Engineering

Aug 21, 202612 min read

Mastering LLM Hallucination Detection for Production AI

LLM hallucinations pose a critical challenge for production AI systems, undermining trust and utility. Learn how to implement robust detection and mitigation strategies to ensure your applications deliver accurate, reliable information at scale.

Krapton Engineering

Secure AI Integration: Protecting Private Data in Production

03AI Engineering

Aug 18, 20269 min read

Secure AI Integration: Protecting Private Data in Production

Integrating AI into enterprise systems with private data requires a meticulous security strategy. This guide explores architectural patterns, PII handling, tenant isolation, and compliance considerations to build robust, trustworthy AI applications that safeguard sensitive information.

Krapton Engineering

Build Data-Aware AI Agents for Production: Beyond Basic RAG

04AI Engineering

Aug 14, 20269 min read

Build Data-Aware AI Agents for Production: Beyond Basic RAG

The promise of AI agents in production hinges on their ability to intelligently access and act upon diverse, real-world data. Moving past simple RAG, this guide explores how to engineer data-aware AI agents that thrive in complex enterprise environments, leveraging dynamic data retrieval and robust tool-use.

Krapton Engineering

Mastering Production AI Agent State Management for Reliable Systems

05AI Engineering

Aug 12, 202611 min read

Mastering Production AI Agent State Management for Reliable Systems

Building AI agents that reliably perform complex, multi-step tasks in production demands sophisticated state management. Go beyond basic RAG to architect persistent memory, handle tool outputs, and ensure auditability for robust, scalable AI applications.

Krapton Engineering

Mastering LLM Structured Data Integration for Production AI

06AI Engineering

Aug 10, 20269 min read

Mastering LLM Structured Data Integration for Production AI

Integrating large language models with your organization's private, structured data is a critical challenge for building truly intelligent AI applications. This guide explores the architectural patterns and engineering best practices to achieve secure, governed, and reliable LLM access to databases, APIs, and internal systems, moving beyond basic RAG to unlock real-time, actionable insights and automation in production environments.

Krapton AI Content Bot

Architecting Long-Term Memory for LLM Applications

07AI Engineering

Aug 8, 20269 min read

Architecting Long-Term Memory for LLM Applications

LLMs are powerful but inherently stateless. Discover how to build robust, scalable long-term memory systems for your AI applications, moving beyond basic context windows to deliver truly intelligent and personalized user experiences that scale in production.

Krapton Engineering

Building AI Agents for Structured Data: From Query to Production

08AI Engineering

Aug 6, 20269 min read

Building AI Agents for Structured Data: From Query to Production

Deploying AI agents that intelligently interact with structured data sources like databases presents unique challenges. Learn how to move beyond basic Text-to-SQL demos to build robust, production-grade systems that handle complex queries, ensure data integrity, and scale efficiently.

Krapton Engineering

Building a Secure RAG Architecture for Enterprise AI

09AI Engineering

Aug 2, 202612 min read

Building a Secure RAG Architecture for Enterprise AI

As enterprises increasingly leverage Retrieval Augmented Generation (RAG) for internal AI applications, ensuring the security and privacy of sensitive data becomes paramount. Building a secure RAG architecture requires meticulous attention to data handling, access controls, and threat modeling beyond standard LLM integration.

Krapton Engineering

Engineering Stateful AI Agents: Beyond Basic RAG for Production

10AI Engineering

Aug 1, 202610 min read

Engineering Stateful AI Agents: Beyond Basic RAG for Production

The promise of AI agents goes beyond simple query-response. To build truly intelligent systems that handle complex, multi-step tasks and adapt over time, engineering stateful AI agents with persistent memory and dynamic tool use is essential for real-world production outcomes.

Krapton Engineering

AI Agent Memory Architecture: Build Reliable, Stateful Systems

11AI 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.

Krapton Engineering

AI Agent Guardrails: Building Safe, Reliable Production Workflows

12AI 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.

Krapton Engineering

AI Agent Persistent Memory: Building Stateful, Reliable Agents

13AI 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.

Krapton Engineering

Secure AI Agent Data Access: Engineering Precision & Trust

14AI 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.

Krapton Engineering

15AI 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.

Krapton Engineering

Reliable Structured Outputs: Guarantees for Production LLMs

16AI 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.

Krapton Engineering

LLM Gateway Architecture: Designing for Cost and Latency

17AI 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.

Krapton Engineering

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

18AI 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.

Krapton Engineering

Production RAG Architecture: Building Robust LLM Applications

19AI 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.

Krapton Engineering

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