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Fiverr Pro
English
$
USD
I will develop a multiagent ai application using langgraph and llms
Esha
About this gig
Hi, I'm Esha I build AI systems that don't just chat, they actually work. Using LangGraph, I create multi agent applications where different AI agents team up to search, reason, and complete real tasks not just reply to messages.
What you get:
Custom multi agent workflow for your use case
RAG retrieval agents answer from your own docs/data
Tool-calling agents that search, fetch, and take action
Clean, commented FastAPI backend
Persistent memory via database (Standard & Premium)
Stack: Python, LangGraph, FastAPI, ChromaDB works with GPT, Gemini, or Claude.
I've shipped real multi agent research assistants and AI tools before this is production-level work, not tutorial code.
Got a unique use case? Message me first, let's scope it out.
Get to know Esha
Esha
AI Engineer specializing in RAG, AI Automation and Agentic AI
- FromPakistan
- Member sinceNov 2025
- Avg. response time1 hour
Languages
Sindhi, English, Urdu
I’m Esha, a passionate AI Engineer specializing in Machine Learning, Deep Learning, NLP, Generative AI (GenAI), RAG, AI Agents, and AI Automation. I build intelligent, end-to-end AI solutions using Python, Scikit-learn, TensorFlow, Keras, Flask, and modern LLM technologies.
I can develop ML/DL models, NLP applications, AI chatbots, RAG-based systems, LLM applications, AI agents, and automated AI workflows. From data preprocessing and model development to deployment, I focus on building practical, reliable, and scalable AI solutions that turn ideas into working products.
Other AI Development Services I Offer
FAQ
Q: What's the difference between a regular chatbot and a multi agent system?
A: A regular chatbot just responds to messages. A multi agent system has specialized agents working together — one might search documents, another calls external tools, another handles reasoning — coordinated to complete complex tasks automatically.
Q: Can you connect it to my existing data (PDFs, website, database)?
A: Yes — RAG-based retrieval is included from Standard package onward, so agents can answer using your actual documents or data instead of generic knowledge.
Q: Which AI models do you support?
A: GPT, Gemini, and Claude-compatible setups. You can bring your own API key, or I can help you choose the right model for your budget.
Q: Do you provide the source code?
A: Yes, full source code with comments is included in every package.
Q: Do you handle deployment/hosting?
A: Deployment guidance is included in Premium. For Basic/Standard, I deliver deployment-ready code you (or your team) can host anywhere.
