Ai architecture
AI-Powered Customer Support Agent: Automating Ticket Triage, Resolution, and Escalation
- Sudhir Mangla
- Agentic AI Systems , AI Architecture
- 06 Jun, 2026
1 AI-Powered Customer Support Agent: Enterprise Architecture Blueprint An AI-powered customer support agent is not just a chatbot connected to a help desk. In a production support environment, t
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Agentic AI for Software Development: Build a Coding Assistant That Plans, Writes, Reviews, and Tests Code
- Sudhir Mangla
- Agentic AI Systems , AI Architecture
- 24 May, 2026
1 Agentic AI for Software Development: The Paradigm Shift and Core Architecture Agentic AI for software development is not just a smarter autocomplete. The useful pattern is closer to a small en
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AI Agents for Enterprise Knowledge Management: Build a Smart Internal Search and Answering System
- Sudhir Mangla
- Agentic AI Systems , AI Architecture
- 18 May, 2026
1 AI Agents for Enterprise Knowledge Management: Build a Smart Internal Search and Answering System Enterprise knowledge is rarely stored in one clean system. Policies live in PDFs, decisions ar
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Build an Agentic AI Recruitment Engine: From Job Description Creation to Final Interview Shortlisting
- Sudhir Mangla
- Agentic AI Systems , AI Architecture
- 07 May, 2026
1 Build an Agentic AI Recruitment Engine: From Job Description Creation to Final Interview Shortlisting Recruitment workflows look simple on paper: write a job description, collect resumes, scre
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Llama.cpp on Windows 11 with Qwen 3.5: A Practical Local AI Setup for .NET Architects
- Sudhir Mangla
- AI & Machine Learning , AI Architecture
- 10 Apr, 2026
1 The 2026 Local AI Landscape: Moving Beyond the Wrapper 1.1 The Architect’s Choice: Why convenience (Ollama) is being traded for precision (llama.cpp) A year ago, Ollama was the defaul
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Vector Databases for .NET Developers: Qdrant, Milvus, and Pinecone Compared
- Sudhir Mangla
- AI Architecture , Database
- 28 Feb, 2026
For .NET architects in 2026, the conversation has moved well past "what is a vector." The real questions now are: which database fits your scale, what does it cost at 100 million vectors, and how does
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