Langchain Arfatur Rahman
February 28, 2025
Comments (5)

Langchain

This is bold

  • Load data from website
  • Split data into chunk
  • Embed splitted data into vactor value
  • store it into db
  • retrive

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arfat

arfat

Rahman

Tags:

AzureLangChain

About the Author

Arfatur Rahman

Arfatur Rahman

Software Developer

I’m Arfatur Rahman, a Full-Stack and AI-Driven Software Developer with deep expertise in building modern SaaS platforms, RAG-based AI applications, scalable APIs, and real-time web systems. My work focuses on combining high-quality engineering with cutting-edge AI technologies to create applications that are reliable, secure, and capable of intelligent decision-making.

I specialize in technologies such as Next.js, React, TypeScript, Node.js, Prisma, Supabase, MongoDB, and Azure—alongside advanced AI stacks including LangChain, Vector Databases, embeddings generation, and Retrieval-Augmented Generation (RAG). I develop production-ready AI chatbots, knowledge-bases, automation tools, and full-stack platforms that integrate seamlessly with OpenAI, Gemini, Mistral, and Azure AI.

My engineering approach emphasizes performance, scalability, and clean architecture, enabling me to build systems that handle real-world traffic, complex data pipelines, secure authentication flows, and modern ISR/SSR strategies in Next.js. I’m passionate about developing intelligent applications that blend strong backend engineering with real-world AI capabilities—ensuring high performance, reliability, and future-proof design.

📍 Chittagong, Bangladesh📞 +880 1819 439 292📧 [email protected]

Comments

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