I will build a rag ai chatbot for your documents

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medalieli
M
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Mohammed Ali El
Sommige informatie wordt in het Engels weergegeven.

Over deze dienst

I will build a custom RAG AI chatbot that answers questions using your own documents, knowledge base, website content, or business data.


Unlike a generic chatbot, a RAG system retrieves relevant information from your data before generating an answer, helping produce more accurate, grounded, and reliable responses.


Depending on your package, I can include:


PDF/DOCX document Q&A

OpenAI / LLM integration

Vector search + RAG

Source citations

Conversation memory

Multilingual support

User authentication

API, CRM, or database integration

Custom web chat interface

Source code

Docker / deployment setup

Tech Stack: Python, FastAPI, LangChain, PostgreSQL, pgvector, OpenAI API, Redis, Docker, and Next.js.


Perfect for customer support, internal knowledge assistants, document search, employee help desks, and business knowledge bases.


Please message me before ordering if you need custom integrations, a large knowledge base, or a more complex workflow.

Maak kennis met Mohammed Ali El

Mohammed Ali El

AI Engineer, RAG and AI Agents, Python, FastAPI and LLM

  • Afkomstig uitMarokko
  • Lid sindssep 2026
  • Gem. reactietijd1 uur
  • Talen

    Arabisch, Engels, Frans
🤖 AI Engineer specializing in RAG systems, AI agents, LLM apps, and AI integrations. I build reliable AI solutions that connect with 📄 documents, 🗄️ databases, 🔗 APIs, CRMs, and business tools. I can build 💬 RAG chatbots, document Q&A, customer-support agents, SQL agents, AI automations, and 🎙️ voice agents. 🛠️ Tech: Python, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, OpenAI API, Docker, Redis, Next.js. 🎯 I focus on accurate retrieval, secure tool calling, testing, guardrails, and production-ready deployment.

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