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Fiverr Pro
Nederlands
$
USD
I will build an ai agent with rag and tools
Adam M
Over deze dienst
An agent is a loop with tools. A chatbot is a prompt. I build an AI agent that can call tools and optionally RAG for support, research, or internal ops. It can search your docs, hit APIs you approve, and return an action or a cited answer. You get the agent loop, the tools, and a way to watch what it did.
What you get: agent runtime (LangGraph or tool calling), tools you need, optional RAG, tracing, a chat or job UI plus API, step limits.
Stack: Python, FastAPI, LangGraph or native tool calling, LangChain/LlamaIndex for retrieval.
To start: one workflow, the APIs/docs involved, and 10 example tasks.
Maak kennis met Adam M
Adam M
AI Engineer, RAG, ML and Agents
- Afkomstig uitMarokko
- Lid sindssep 2025
- Gem. reactietijd1 uur
Talen
Engels, Frans, Arabisch
I build production AI systems: RAG chatbots grounded in your docs, custom ML and deep learning models, generative AI apps, and tool-using agents. Python, LangChain, LlamaIndex, PyTorch, FastAPI. You get source code, evaluation, and a handoff - not a wrapped chatbot template. I will tell you if RAG, a model, or an agent is the wrong tool. Based in Morocco. English and French.
Andere AI-development diensten die ik aanbied
Veelgestelde vragen
Is this an unbounded AutoGPT?
No. It is a scoped agent with a fixed tool set, step limits, and clear stop conditions, so it stays predictable and cheap to run.
How is this different from your RAG chatbot gig?
The RAG gig answers questions from your docs. This one takes actions: it calls tools and APIs, runs a loop, and can use RAG as one of those tools.
Can the agent write or change data?
Yes, but write actions require human confirmation by default. Reads run automatically; writes are gated behind an approval step you control.
Do you train models on my tickets or data?
No. No training or fine-tuning on your tickets or documents. Your data is only used at run time for retrieval and tool calls.
