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RAG
Designing a Production-Grade RAG Architecture
Architecture, components and best practices for reliable retrieval-augmented generation.
AI Architecture · Engineering · Real-world Impact
From One Call
to a Platform.
Practical insights, architectures and frameworks for building production-grade AI systems.
15+ YearsTechnology experience
AI · Cloud · TelecomDomain expertise
Books · Blogs · DemosKnowledge platform
ConsultingArchitecture advisory
AI ArchitectureDesign & build at scale
Agentic SystemsFrom agents to platforms
RAG & KnowledgeGrounded, reliable AI
Kubernetes & CloudProduction-grade infra
Consulting & WorkshopsPractical outcomes
KESHAVA AI · ENGINEERING SERIES
From One Call to a Platform
A practical guide to building production-grade AI systems
Featured Book
From One Call to a Platform
A practical, end-to-end guide to designing, building and operating AI systems — from prompts and context to agents, RAG, observability and production platforms.
Table of ContentsSample PDFBuy eBook (coming soon)Related Articles
Ideas into practice
Latest from the Blog
Engineering notes and practical patterns for reliable AI systems.
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Kubernetes
Running LLMs on Kubernetes with KServe
A practical guide to deployment, serving and scaling.
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Networking
Topology Graphs for RCA in Broadband Networks
Using topology and graphs to support root-cause analysis.
Watch and learn
Videos & Recorded Demos
Walkthroughs, architecture explainers and recorded experiments. Replace these sample cards with your actual YouTube videos.
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Book Series
From One Call to a Platform — Book Overview
A guided tour of the agentic engineering stack.
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RAG
RAG System Design Walkthrough
Retrieval, reranking, grounding and evaluation.
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Agents
Multi-Agent Systems in Practice
Architecture and trade-offs through a recorded demo.
Explore the ecosystem
Featured AI Demos
Curated links to public tools and demos. Each link opens the original provider; availability and free access depend on that provider.
Model Playground
Explore text-generation models and compare their responses in a public demo.
Find a public demo ↗Retrieval-Augmented Generation
Explore document question-answering and retrieval workflows.
Find a public demo ↗Agent Workflow Explorer
Discover examples of tools, multi-step workflows and agent orchestration.
Find a public demo ↗Work with Kapil
Architecture that meets production reality.
Focused advisory and workshops for teams building AI-enabled products and platforms.
AI Architecture ReviewArchitecture choices, risks, scalability and production readiness.
RAG & Agentic AI AdvisoryRetrieval quality, evaluation, orchestration and governance.
Cloud-Native AI WorkshopsPractical sessions for platform and engineering teams.
About the author
Engineering with context. Building for scale.
Keshava AI is the knowledge and consulting platform of Kapil Gupta, focused on AI architecture, cloud-native engineering, agentic systems and production-grade platforms.
Use this section to add your approved professional biography, speaking topics, LinkedIn profile and selected publications. Keep employer-confidential information and internal customer details out of public case studies.
Connect on LinkedIn ↗Book publishing checklist
From manuscript to publication
Before selling the full book, complete editorial review, originality and attribution checks, and confirm rights for all third-party assets.
Free preview
Publish the overview, table of contents and a carefully selected sample chapter.
Originality review
Review text similarity, source attribution, code licences and diagram/image permissions.
Paid edition
Add a checkout and secure delivery provider after the manuscript and pricing are finalized.