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Fiverr Pro
English
$
USD
I will build a rag pipeline and llm application for your business
Malik Ramzan
About this gig
Need a reliable RAG system that can answer questions from your private documents and business data? I will build a custom Retrieval-Augmented Generation (RAG) solution using modern LLM and vector database technologies.
My RAG implementation can include document processing, text chunking, embeddings, semantic search, vector database integration, retrieval pipelines, and LLM integration to generate accurate, context-aware responses.
I can build RAG applications for:
PDF and document Q&A
AI knowledge bases
Business data chatbots
Private document assistants
Customer support systems
Custom LLM applications
Semantic search systems
I can work with Python, LangChain, LlamaIndex, OpenAI, Hugging Face, FAISS, ChromaDB, Pinecone, and other modern AI tools.
You will receive clean, functional, and well-structured code tailored to your requirements.
Message me before ordering so we can discuss your data, requirements, and the best RAG architecture for your project.
Get to know Malik Ramzan
Malik Ramzan
AI ML Engineer Computer Vision LLM RAG Expert
- FromPakistan
- Member sinceAug 2026
- Avg. response time1 hour
Languages
Urdu, English
I’m an AI & Machine Learning specialist focused on building practical AI solutions. My expertise includes LLM integration and fine-tuning, RAG systems, AI API integration, computer vision, CNNs, neural networks, deep learning, and machine learning. I build AI chatbots, document Q&A systems, RAG pipelines, computer vision applications, and custom AI models tailored to client needs.
FAQ
What types of documents can you use?
I can work with PDFs, TXT, DOCX, CSV, JSON, web content, and other structured or unstructured data, depending on the project requirements.
Which technologies do you use for RAG?
I can use Python, LangChain, LlamaIndex, OpenAI, Hugging Face, FAISS, ChromaDB, Pinecone, PostgreSQL/pgvector, and other suitable AI technologies.
Can you integrate RAG into my existing application?
Yes. I can integrate a RAG pipeline into an existing web application, backend, chatbot, or AI-powered system through APIs.
Can you use my preferred LLM or vector database?
Yes. I can work with compatible LLMs and vector databases based on your requirements, including OpenAI and Hugging Face models and popular vector stores.
Will I receive the source code?
Yes. Source code is included according to the selected package. Additional documentation and detailed code comments can be added when required.
Do you provide LLM fine-tuning?
LLM fine-tuning is a separate service. If you need LoRA, QLoRA, or custom model fine-tuning, please contact me for a custom offer.
Can you work with sensitive or private business documents?
Yes. I can build RAG systems designed around your data and deployment requirements. Please discuss your security, privacy, and hosting requirements before ordering.
