I will build a custom AI chatbot (RAG) trained on your internal documents

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Proposé par IliassWakkar •Full-Stack & AI Engineer | Enterprise Apps & Cloud Solutions Vente au total 0

Want an AI assistant that answers questions accurately using only your private business data, without leaking confidential information or making things up? I build Retrieval-Augmented Generation (RAG) AI chatbots that read, index, and query your internal documents.

What I deliver in the base package:
• RAG pipeline set up using Python (LangChain/LlamaIndex) and OpenAI/Claude.
• Ingestion and indexing of 1 core document (PDF, DOCX, or TXT, up to 20 pages / 10k words).
• Local vector embeddings setup for exact semantic search.
• Simple functional chat interface or API response testing setup.
• Strict system prompt restricting the AI to answer only from the provided document context.

Good fit for: Standard operating procedures (SOPs), employee handbooks, single product manuals, or contract Q&A.

Launch pricing: Currently discounted to accumulate initial reviews on ComeUp. Enterprise RAG architecture at MVP pricing.

Message me with a sample document and your target use case before ordering to confirm technical feasibility.

I will build a custom AI chatbot (RAG) trained on your internal documents

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À propos du vendeur

IliassWakkar

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I am a Full-Stack Engineer specializing in high-performance web architectures and Generative AI integrations. I bridge the gap between intelligent user interfaces and robust enterprise backends, transforming complex data requirements into production-ready software. Technical Focus: Frontend Engineering: Building fast, responsive, and SEO-optimized web applications using Next.js, React.js, TypeScript, and modern CSS frameworks (Tailwind CSS). Backend & API Architecture: Designing secure, scalable RESTful APIs and microservices using Spring Boot (Java), Node.js, and Python (Flask). AI & Automation Integration: Implementing advanced AI features, including custom LLM API integrations (Gemini, OpenAI), Retrieval-Augmented Generation (RAG) workflows, vector database architecture, and automated chatbot agents. Database & Infrastructure: Managing relational and non-relational storage (PostgreSQL, MySQL, MongoDB) paired with containerized deployment pipelines (Docker). Backed by technical leadership experience managing cross-functional engineering teams, I deliver clean, maintainable code aligned with Agile/Scrum methodologies. Let’s discuss how I can integrate secure AI capabilities into your existing system or build your next full-stack platform from scratch.

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