You will get Custom RAG-powered AI knowledge assistant for your business
Project details
I will build a RAG-powered AI knowledge assistant that answers questions using your business documents, internal knowledge, policies, manuals, product information, or other approved sources.
Depending on the package you select, your solution can include document ingestion, embeddings, vector search, prompt engineering, source citations, a web interface, authentication, deployment, testing, and documentation.
The goal is to give your team or customers faster access to accurate, relevant information without manually searching through large amounts of content.
This can be used for internal knowledge, customer support, onboarding, policy lookup, technical documentation, product assistance, research, and more.
Please message me before purchasing. Thank you!
Depending on the package you select, your solution can include document ingestion, embeddings, vector search, prompt engineering, source citations, a web interface, authentication, deployment, testing, and documentation.
The goal is to give your team or customers faster access to accurate, relevant information without manually searching through large amounts of content.
This can be used for internal knowledge, customer support, onboarding, policy lookup, technical documentation, product assistance, research, and more.
Please message me before purchasing. Thank you!
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$495
|
Standard
$1,500
|
Advanced
$3,250
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$150
OCR for scanned documents
(+ 4 Days)
+$400Frequently asked questions
About Anthony
Full Stack AI/ML Developer | AI Agents | LLMs | AI Automation
Orlando, United States - 1:09 am local time
I design and develop AI automations, internal tools, web and mobile applications, voice workflows, operational dashboards, and API-connected systems using Python, React, TypeScript, C#, .NET, and AWS.
Founders and teams bring me in when they need to automate a business process, build an AI-powered product, or turn an early software idea into a reliable working system.
My AI development work includes:
LLM API integration
Retrieval-Augmented Generation systems
AI agents and multi-step workflows
Business-process automation
Conversational and voice AI
Document and knowledge workflows
Prompt engineering and structured outputs
API, database, and third-party platform integrations
I have contributed to enterprise software supporting organizations including Dell, NVIDIA, Intel, and the U.S. Navy. That experience taught me how to build with reliability, security, maintainability, and real operational use in mind—not just create a prototype that looks impressive in a demo.
I can support a project from early discovery through architecture, development, testing, deployment, and documentation. I am comfortable working across the full stack, including user interfaces, backend services, APIs, databases, cloud infrastructure, integrations, and production troubleshooting.
I have also taught Python and JavaScript through Code Ninjas, which strengthened my ability to explain technical decisions clearly and collaborate with clients who may not have an engineering background.
Common projects I handle
AI workflow automation and implementation
RAG-powered knowledge assistants
AI agents and internal copilots
Voice and conversational AI systems
React and TypeScript web applications
Python and FastAPI backend development
C# and .NET enterprise applications
REST API and database integrations
Operational dashboards and reporting systems
Mobile applications using React Native and Expo
MVP architecture, development, and deployment
Existing-system improvements and production troubleshooting
Core technologies
Python, FastAPI, React, TypeScript, JavaScript, C#, ASP.NET, .NET, SQL, PostgreSQL, Oracle, DynamoDB, Supabase, AWS, OpenAI APIs, RAG, vector databases, React Native, and Expo.
Share the process, product, or system you need to improve, and I’ll help determine the most practical path from idea to implementation.
Specializes In:
Full Stack Web Apps using React.js, TypeScript, Python, and C#
AI-Powered Tools, Chatbots, and RAG Pipelines
REST API Development and Backend Logic
Clean, Responsive UI/UX Design with Tailwind CSS
E-Commerce and Client-Facing Web Solutions
Modern Deployment on Vercel, Render, or AWS
Steps for completing your project
After purchasing the project, send requirements so Anthony can start the project.
Delivery time starts when Anthony receives requirements from you.
Anthony works on your project following the steps below.
Revisions may occur after the delivery date.
Review knowledge sources
I review your use case, users, documents, data sources, and selected package scope.
Build retrieval architecture
I prepare the content, vector search, model, prompts, and retrieval workflow.