I will build agentic rag application using langchain and langgraph

R
rushi78441
R
rushi78441
RUSHI PAREKH
build agentic rag application using langchain and langgraph
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About this gig

️ CORE TECHNICAL EXPERTISE


- AI Orchestration & Agents: LangGraph (StateGraphs, Conditional Routing, Cyclic Loops), LangChain v0.3+.

- Workflow Automation: n8n (Webhook integrations, automated ETL data pipelines).

- Backend Engineering: FastAPI, Flask, RESTful API Design, SQLite, MongoDB.

- Data Processing: Python, Pandas, NumPy, Scikit-learn.


PRODUCTION-GRADE CASE STUDY: AGENTIC CLASSROOM AI


I engineered a cloud-native educational intelligence platform designed to ingest massive raw multimedia files and autonomously transform them into structured learning assets.


- Bypassing Hard API Limits: Enforced a system-level FFmpeg compression pipeline that crushes massive video files into ultra-compact mono MP3 files, permanently bypassing rigid 25MB speech-to-text API payload boundaries.

- Decentralized Architecture: Implemented a Bring-Your-Own-Key (BYOK) client database strategy to handle infinite multi-user horizontal scaling without hitting centralized token limits.

- Autonomous Research Loops: Built an advanced LangGraph StateGraph engine. If localized vector database context (FAISS) is insufficient to resolve a query, the agent dynamically triggers web-scraping tools.

  • Application Type

    • Web Application

  • Desktop Frameworks

    • Electron

  • AI Type

    • Chat
    • Education
    • Social Networking
    • News
    • Productivity Tools

  • Programming Language

    • C++
    • Python
    • React
    • Tensorflow
    • Other

  • Web Frameworks

    • React
    • Express.js (Node.js)
    • Flask

  • No & Low-Code Builders

    • Lovable

Get to know RUSHI PAREKH

RUSHI PAREKH

GenAI Developer

  • FromIndia
  • Member sinceMay 2026

  • Languages

    Gujarati, Hindi, English
I am a Generative AI and Backend Engineer specializing in building autonomous, multi-agent workflows and robust API architectures. Instead of constructing simple, linear AI chatbots, I design stateful, deterministic graph applications that can use external tools, self-correct execution errors, and handle complex enterprise workflows without human intervention. I specialize in bridge-building: taking messy, manual business bottlenecks and transforming them into optimized, automated pipelines using modern agentic frameworks and production-ready backends.

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