I will build a custom rag chatbot with langchain and vector database

M
mhshuvo20
M
mhshuvo20
MH SHUVO
Sommige informatie wordt in het Engels weergegeven.

Over deze dienst

Struggling to make your data (PDFs, docs, website content) searchable 

and answerable by AI? I build production-ready RAG (Retrieval-Augmented 

Generation) chatbots that give accurate, source-grounded answers not 

hallucinations.


WHAT YOU GET:

  • Custom RAG pipeline built with LangChain and LangGraph
  • Vector database setup (Supabase + pgvector, or MongoDB Atlas)
  • Multi-tenant support for separate knowledge bases per client
  • FastAPI backend ready to connect to any frontend
  • Bangla/English bilingual support available on request


WHY WORK WITH ME:

I build AI/ML pipelines professionally at Sonali Life Insurance PLC, 

and previously built multi-tenant RAG systems at Infinoz. I also hold 

9 published research papers in AI/ML, so this is applied engineering 

experience, not guesswork.


TECH STACK:

LangChain, LangGraph, FastAPI, PostgreSQL/Supabase, pgvector, 

OpenAI/Gemini/Groq API


Message me before ordering if your use case is unique; happy to scope 

it out first so we're aligned before work begins.

Maak kennis met MH SHUVO

MH SHUVO

AI ML Engineer LLM RAG and Computer Vision Specialist

  • Afkomstig uitBangladesh
  • Lid sindsnov 2022
  • Gem. reactietijd1 uur
  • Talen

    Bengaals, Engels
I build AI systems that ship, not just prototypes. Currently an IT Intern at Sonali Life Insurance PLC, building AI/ML pipelines, RAG systems, and LLM workflows. Previously built multi-tenant RAG pipelines and AI chatbots at Infinoz. What I build: LLM agents (LangChain, LangGraph, CrewAI), RAG pipelines with vector databases, custom YOLO models for object detection, FastAPI backends with Docker, and Bangla/Banglish NLP. 20+ projects shipped. 9 published research papers (IEEE, Taylor & Francis). Active IEEE conference reviewer. Tell me the problem. I build the solution.

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