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I will build a custom rag chatbot and ai agent
Abdullah javaid
About this gig
Transform Fragmented Data into a Private, Intelligent Knowledge Engine. In an era of generic AI, most solutions suffer from data hallucinations and privacy vulnerabilities. I am Muhammad Abdullah Javaid, a Computer Science Graduate and Python Developer specializing in Retrieval-Augmented Generation (RAG) and Autonomous AI Agent Frameworks. I bridge the gap between raw data and actionable intelligence.
Core Engineering Competencies
I don't simply configure AI, I architect robust pipelines. Whether your objective is a high-speed cloud integration or a 100% Private Local LLM, I deliver production-ready software tailored to your specific data environment.
Technical Service Offerings
- Hybrid RAG Architecture: Seamlessly toggle between OpenAI (for performance) and Ollama/Llama 3 (for absolute data sovereignty).
- Advanced Vector Indexing: Implementing ChromaDB to ensure your AI possesses a scalable, persistent memory of your corporate assets.
- Deterministic Accuracy: Eliminating hallucinations via Semantic Search and precise Source Citations referencing exact page numbers and file names.
- Autonomous Multi-Agent Systems: Deploying specialized agents that go beyond conversation
Get to know Abdullah javaid
Abdullah javaid
AI Engineer and Neural Architect, Hybrid RAG and Agentic Systems
- FromPakistan
- Member sinceOct 2021
- Avg. response time1 hour
Languages
English
I am a professional AI/ML Engineer and Data Science expert specializing in Generative AI and Agentic AI systems. With a BSCS background and hands-on experience as a Python Developer, I architect production-ready LLM applications using LlamaIndex, LangChain, and FastAPI.I excel at creating Autonomous AI Agents and Advanced RAG pipelines with a strict focus on hallucination reduction a precision I’ve honed through high-stakes Healthcare AI projects.
My Portfolio
FAQ
How do you ensure my sensitive business data remains 100% private?
I specialize in Local LLM integration using Ollama and Llama 3. Unlike standard GPT wrappers, I can build an architecture where your data never leaves your local machine or private server. This ensures absolute data sovereignty for legal, medical, or proprietary business documents.
Can I trust the AI not to hallucinate or provide false information?
Yes. I implement Retrieval-Augmented Generation (RAG) with strict Source Citations. The AI is programmed to respond based only on the provided documents. If the answer isn't in your data, the AI will state it doesn't know rather than inventing a response.
Will I have to pay high monthly API fees to OpenAI?
That depends on your preference. If we use OpenAI/Anthropic, you pay per use. However, if I deploy a Local LLM on your hardware, there are zero monthly API costs. You only pay for the initial development and your own hardware.
Can I add more documents to the AI's knowledge base later by myself?
Absolutely. I architect my systems with Dynamic Vector Databases (ChromaDB). You can simply add new PDFs or text files to a designated folder, and the AI will automatically index and learn from them without needing a code update.
What is the difference between a Chatbot and an Autonomous Agent?
A chatbot simply answers questions. An Autonomous Agent can perform tasks. For example, my agents can search the web for missing info, update your SQL database, or generate a summary report based on your conversation acting as a true digital employee.
