You will get a custom RAG system for your documents and data
Project details
You will get a custom RAG (Retrieval-Augmented Generation) system built on your documents and data. I build RAG pipelines using Large Language Models and vector search, enabling you to ask questions and get accurate answers from your own knowledge base. I focus on delivering clean, well-documented source code with clear setup instructions so you can run the system easily. I am passionate about AI development and committed to delivering quality work with clear communication throughout the project. Your satisfaction and a working solution are my top priorities.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, DALL-E, GPT-3, GPT-4What's included $100
These options are included with the project scope.
$100
- Delivery Time 7 days
- Number of Revisions 2
- AI Model Integration
- Detailed Code Comments
- Model Documentation
- Model Testing & Optimization
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$25About Dur E Sameen
AI Engineer | LLM Applications | Agentic AI | RAG Pipelines
Lahore, Pakistan - 3:54 am local time
My core expertise includes:
- Multi-agent workflows using LangChain, LangGraph, CrewAI, Semantic Kernel, and Agno
- End-to-end RAG pipelines using ChromaDB for semantic search and document intelligence
- LLM integrations with OpenAI, Anthropic Claude, Groq, and Mistral across text, vision, and audio tasks
- REST APIs using FastAPI and Django within microservices architectures
- Prompt engineering for complex agentic workflows
I have worked on systems including a 4-agent automation platform built on a microservices architecture, handling real-time data processing and live dashboard updates.
I focus on building AI systems that are reliable, scalable, and ready for real-world use.
Steps for completing your project
After purchasing the project, send requirements so Dur E Sameen can start the project.
Delivery time starts when Dur E Sameen receives requirements from you.
Dur E Sameen works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Review client's documents, data sources, and goals to define the pipeline scope
Data Ingestion & Chunking
Process and split documents into chunks, generate embeddings