You will get an AI chatbot that instantly finds exact answers in your PDFs
Project details
🚀 SPECIAL OFFER: 50% discount for my first 3 clients, or a FREE 15-min feasibility check for your PDFs. Message me!
Want to chat with your corporate files? I will build a custom RAG (Retrieval-Augmented Generation) AI Agent that finds exact answers in your PDFs instantly, with zero hallucination.
Core Features:
• Multi-Document QA: Upload complex PDFs and get answers based strictly on your data.
• Clean Interface: Professional UI (Streamlit/Gradio) for easy interaction.
• Smart Memory: Chatbot remembers context for continuous deep dives.
• Anti-Hallucination: Custom prompts to ensure 100% reliable responses.
Why Me?
As an AI Agent Engineer, I build practical RAG architectures using Python & LangChain. I deliver ready-to-use solutions that anyone can run.
Let’s turn your documents into an intelligent knowledge base today!
Want to chat with your corporate files? I will build a custom RAG (Retrieval-Augmented Generation) AI Agent that finds exact answers in your PDFs instantly, with zero hallucination.
Core Features:
• Multi-Document QA: Upload complex PDFs and get answers based strictly on your data.
• Clean Interface: Professional UI (Streamlit/Gradio) for easy interaction.
• Smart Memory: Chatbot remembers context for continuous deep dives.
• Anti-Hallucination: Custom prompts to ensure 100% reliable responses.
Why Me?
As an AI Agent Engineer, I build practical RAG architectures using Python & LangChain. I deliver ready-to-use solutions that anyone can run.
Let’s turn your documents into an intelligent knowledge base today!
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Gradio, StreamlitAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 3 | 4 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
About Hong
Medical AI Agent Engineer | RAG Specialist | Clinical Python Developer
Nanning, China - 9:56 pm local time
Unlike generalist developers, I understand the critical importance of patient safety, clinical workflows, and medical terminology. I specialize in building custom AI solutions from the ground up using raw code, ensuring full control over data security and system accuracy.
My Core Services:
RAG-Driven Medical Agents: Building Retrieval-Augmented Generation systems that strictly query local, private medical knowledge bases (e.g., drug inserts, clinical guidelines) to eliminate AI hallucinations.
Clinical Decision Support Systems: Developing tools like my flagship project, Pharmacist Pro (MedVision), which integrates computer vision (ResNet18) and vector databases (FAISS) for precise drug safety checks and multi-turn patient triage.
Medical UI/UX Design: Creating intuitive, clinic-ready interfaces using Streamlit with custom CSS to ensure a professional, commercial-grade user experience.
Prompt Engineering: Designing highly constrained, safety-first system prompts for healthcare scenarios.
Let's build AI systems that not only look great but adhere to the highest standards of medical accuracy. Send me a message to see a live demo of my recent work!
Steps for completing your project
After purchasing the project, send requirements so Hong can start the project.
Delivery time starts when Hong receives requirements from you.
Hong works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Setup
I will review your PDF files and configure the core LangChain database architecture based on your project needs.