I will build a custom ai chatbot over your documents using rag, langchain and fastapi

M
mohconnect
M
mohconnect
Mohamed D
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

Need an AI that can answer questions from your own documents with verifiable sources, not hallucinations?

I build production-grade RAG (Retrieval-Augmented Generation) systems used in regulated environments where accuracy and traceability matter. Every answer is tied back to the source document, so you can defend the output to clients, auditors, or regulators.

What you get:

  • Document ingestion pipeline (PDF, DOCX, HTML, CSV)
  • Vector store with ChromaDB and semantic + keyword hybrid search
  • FastAPI backend with streaming chat endpoints
  • Source citations linking back to original documents
  • Clean React chat interface (or integration with your existing app)
  • Provider abstraction run on local Ollama or cloud (OpenAI, Anthropic, Azure)

Best fit for:

  • Legal firms searching contracts and case law
  • Healthcare and compliance teams
  • Internal knowledge bases
  • Customer support over product docs
  • Research libraries

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Mohamed D

AI Engineer

  • DaStati Uniti
  • Membro damag 2026
  • Tempo di risposta medio1 ora
  • Lingue

    Inglese, Francese
AI engineer with production experience building agentic AI platforms for federal compliance workflows at USDA. Through MohConnect, I specialize in RAG pipelines, LangGraph agents, FastAPI backends, and React/TypeScript frontends — the full stack to ship real AI products, not prototypes. I help businesses turn unstructured documents and workflows into reliable AI systems with audit trails, HITL approvals, and traceable sources. Strong fit for regulated industries: healthcare, finance, legal, and government. Stack: Python, FastAPI, LangChain, LangGraph, ChromaDB, GCP, AWS.

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