You will get Custom Hybrid Architeture with AI Agents
Rising Talent
Project details
Maritaca Hybrid Graph Agentic RAG is an AI engineering project designed to deliver accurate, traceable, and cost-aware answers from multiple knowledge sources. The system uses an LLM Planner to select the most appropriate route, combining CAG for stable knowledge and RAG for document-based evidence. Retrieval tools can run in parallel, while a Judge Agent evaluates whether the retrieved context is sufficient before allowing the final response. When necessary, the system reformulates the search and retries instead of generating an unsupported answer.
The solution also includes an observable dashboard displaying the selected tools, execution route, latency, token usage, estimated cost, retrieved sources, and Judge decision. It demonstrates how agentic AI can support internal knowledge assistants, customer service, SaaS copilots, auditable decision-support systems, and workflows where response reliability is critical.
The solution also includes an observable dashboard displaying the selected tools, execution route, latency, token usage, estimated cost, retrieved sources, and Judge decision. It demonstrates how agentic AI can support internal knowledge assistants, customer service, SaaS copilots, auditable decision-support systems, and workflows where response reliability is critical.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Self-Organizing Map, StyleGANAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI-Generated Code, AIOps, Anomaly Detection, Automatic Speech Recognition, Natural Language Understanding, Object Detection, Object Localization, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
PyTorch, TensorFlow, Word2vecAI Models
Naive Bayes Classifier, OpenAI CodexWhat's included
| Service Tiers |
Starter
$249
|
Standard
$599
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 2 | 4 | 6 |
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.
Fast Delivery
+$75 - $360
Deploy
+$150
APIs
+$80
Data Base
+$120About Arthur
Data Analyst | Power BI, SQL, Python, Automation & AI
Sao Paulo, Brazil - 2:51 pm local time
I work across Data Analytics, Business Intelligence, Automation and Applied AI, using Power BI, SQL, Python, BigQuery, Airflow and Machine Learning to turn fragmented data into reliable insights and scalable workflows.
My experience includes retail, supply chain, pricing, demand planning, customer analytics and LATAM operations. I have built forecasting processes, churn and retention models, ETL pipelines, pricing analyses, cohort studies, executive dashboards and AI-powered automation tools.
A few examples of measurable impact:
• Automated operational processes, saving more than 20 hours of manual work per week
• Led projects that recovered over BRL 1.4 million in supplier reimbursements
• Supported 13 major retail chains with commercial intelligence and strategic analytics
• Developed solutions for operations across Brazil, Chile and Peru
• Contributed to the development of an ERP-integrated pricing module
What sets me apart is the ability to connect technical execution with business strategy. I do not stop at the analysis—I translate data into clear actions, priorities and decisions.
I can support projects involving Power BI dashboards, SQL analysis, Python automation, ETL pipelines, forecasting, pricing, customer analytics, machine learning and AI-powered solutions.
Steps for completing your project
After purchasing the project, send requirements so Arthur can start the project.
Delivery time starts when Arthur receives requirements from you.
Arthur works on your project following the steps below.
Revisions may occur after the delivery date.
Diagnostic
A meeting to discuss the problems, the actual process, integrations, sources, expectations.
Scope Definition
Allow the access for only authorized people,; Register route, latency, cost; What source will be necessary;