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I will build a rag ai chatbot for your documents
Mohammed Ali El
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Informazioni su questo servizio
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.
Scopri di più su Mohammed Ali El
Mohammed Ali El
AI Engineer, RAG and AI Agents, Python, FastAPI and LLM
- DaMarocco
- Membro daset 2026
- Tempo di risposta medio1 ora
Lingue
Arabo, Inglese, Francese
🤖 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.
Il mio portfolio
FAQ
What is a RAG chatbot?
A RAG chatbot searches your documents or business data for relevant information before answering, allowing the AI to provide more accurate and grounded responses based on your own knowledge base.
What types of documents can I use?
I can work with common formats such as PDF, DOCX and text-based documents. For websites, databases or other data sources, please contact me first so I can confirm the integration.
Can the chatbot show sources or citations?
Yes. I can build the chatbot so answers include references to the documents or sources used to generate the response.
Can you integrate the chatbot into my existing website or application?
Yes. Integration can be included depending on your package or added as an extra. Send me details about your current website, API or application before ordering.
Can the chatbot support multiple languages?
Yes. Multilingual RAG and chatbot support is available. The exact languages and behavior can be discussed before the project starts.
Do I receive the source code?
Yes, source code is included when selected in your package. I can also provide setup instructions for running the project.
Do you provide hosting or deployment?
I can help deploy the chatbot using Docker or your preferred server/cloud environment. Hosting fees and third-party API costs are not included unless agreed separately.
Do I need an OpenAI API key?
Usually yes if OpenAI is used. I can also discuss alternatives such as Claude, Gemini or other supported models depending on your requirements.
