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I will build genai solutions including rag systems, chatbots, and ai agents
nazarabbas93
About this gig
Are you looking for a powerful AI agent that can answer questions from your documents in real-time?
I will build a custom Retrieval-Augmented Generation (RAG) system tailored to your needs from single-document Q&A to full-scale, end-to-end GenAI solutions.
With expertise in LangChain, LlamaIndex, and open-source LLMs (LLaMA, Qwen, Mistral), I design and optimize RAG pipelines that deliver accurate, fast, and context-aware answers.
What I Offer:
- Single or multi-document Q&A agents
- Intelligent chunking & metadata storage
- Vector DB integration (FAISS, Qdrant, ChromaDB)
- Web UI with Streamlit or Open WebUI
- API integration (FastAPI)
- Optional workflow automation (n8n)
- Local or cloud deployment support
Packages:
- Starter RAG Agent Single-document Q&A with embeddings.
- Advanced RAG Pipeline Multi-doc system + web UI.
- End-to-End GenAI Solution Full-featured RAG agent with deployment & automation.
Whether you need an educational assistant, legal contract analyzer, or enterprise knowledge base, Ill deliver a scalable, production-ready AI solution.
Lets bring your data to life with GenAI-powered answers!
Get to know nazarabbas93
nazarabbas93
GenAI RAG Solutions for Your Data
- FromPakistan
- Member sinceSep 2020
Languages
English
Hi! I’m Nazar, a GenAI and AI solutions specialist with a Master’s in Mechanical Engineering from Georgia Tech and 4 years of professional software development experience.
I deliver end-to-end Retrieval-Augmented Generation (RAG) solutions, including document ingestion, knowledge retrieval, AI chat systems, content generation, and automation pipelines. My goal is to help businesses and individuals turn their data into actionable insights quickly and efficiently.
Whether you need a smart assistant, AI-powered chatbot, or automated content workflow, I provide custom solutions tailored to your
My Portfolio
FAQ
What type of documents can your AI agent process?
I support PDFs, Word documents, text files, and structured data sources. I can also extend to websites and databases if needed.
Which vector databases do you work with?
I have experience with FAISS, Qdrant, ChromaDB, and pgvector. I’ll recommend the best option depending on your project.
Can you integrate with different LLMs?
Yes. I work with open-source models (LLaMA, Qwen, Mistral) and API-based providers like OpenAI or Anthropic.
Do you provide a user interface or only a backend?
Both options are available. I can deliver a console-only solution or a clean web UI using Streamlit/OpenWebUI.
Do you provide deployment support?
Yes, I can set up your AI agent locally or deploy it on cloud platforms such as AWS, GCP, or Azure (extra service).
What use cases is this solution best suited for?
Common use cases include legal contract analysis, educational assistants, internal knowledge bases, and document-heavy workflows.
