You will get an AI Agents That Queries Your Database Using Plain English
Project details
Most businesses sit on a goldmine of data — but extracting insights requires a developer every single time. I fix that.
I build AI agents that let anyone on your team ask questions in plain English and get live database results instantly. No SQL. No waiting. No bottlenecks.
What makes this different from other freelancers:
— Dynamic schema injection: the agent reads your real database structure on every request, so it generates accurate queries for your exact tables and columns — not a generic demo.
— Safety-first: only SELECT queries are allowed. DROP, DELETE, UPDATE are blocked at the code level. Your data is never at risk.
— Production-ready code: clean modular architecture (agent layer, DB layer, API layer), fully commented, Docker-ready, and easy for your team to maintain after delivery.
— Any PostgreSQL database: works on your existing data — no migration, no setup overhead.
Built with Python, LangChain, Google Gemini other preferred LLM, FastAPI, and PostgreSQL. Delivered with full source code, setup instructions, and a working demo.
I build AI agents that let anyone on your team ask questions in plain English and get live database results instantly. No SQL. No waiting. No bottlenecks.
What makes this different from other freelancers:
— Dynamic schema injection: the agent reads your real database structure on every request, so it generates accurate queries for your exact tables and columns — not a generic demo.
— Safety-first: only SELECT queries are allowed. DROP, DELETE, UPDATE are blocked at the code level. Your data is never at risk.
— Production-ready code: clean modular architecture (agent layer, DB layer, API layer), fully commented, Docker-ready, and easy for your team to maintain after delivery.
— Any PostgreSQL database: works on your existing data — no migration, no setup overhead.
Built with Python, LangChain, Google Gemini other preferred LLM, FastAPI, and PostgreSQL. Delivered with full source code, setup instructions, and a working demo.
AI Algorithms
Large Language ModelAI Applications
AI-Generated Code, AIOpsAI Development Language
PythonAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$80
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 10 days |
Number of Revisions | 5 | 10 | 20 |
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.
Streamlit UI
(+ 1 Day)
+$20
Cloud deployment
(+ 2 Days)
+$100
Extra database connection
(+ 1 Day)
+$20
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About Abdessamad
Python Developer | Data Engineer (ETL/ELT) | AI Agents & Automation
100%
Job Success
Rabat, Morocco - 2:24 pm local time
Whether you're dealing with scattered data sources, manual workflows, or want to leverage AI, I deliver end-to-end solutions that scale with your business.
What I can do for you:
- Data Engineering
Design & build ETL / ELT pipelines (batch & real-time)
Data modeling (Star Schema, Medallion Architecture)
Data lakes & lakehouse architectures
Data quality & validation
- Cloud & Platforms
End-to-end pipelines on AWS & GCP
Modern data stack integration
Performance optimization & cost-efficient architectures
- AI Agents & Automation
Build AI agents (LLMs, multi-agent systems) for data workflows
Automate data migration, transformation, and analysis
Intelligent pipelines combining data engineering + AI
- Data Extraction & Integration
Web scraping & API integrations
Data ingestion from multiple sources (CRM, SaaS, databases)
Steps for completing your project
After purchasing the project, send requirements so Abdessamad can start the project.
Delivery time starts when Abdessamad receives requirements from you.
Abdessamad works on your project following the steps below.
Revisions may occur after the delivery date.
Receive requirements & analyze your database
Review your database schema, connection details, and example questions. I map your tables to confirm the agent will generate accurate queries before writing a single line of code.
Build the AI agent core
Set up the pipeline with your schema dynamically injected into the system prompt. Fine-tune the prompt using your example questions to maximize accuracy.