You will get AI RAG system with Laravel and vector databases
Rising Talent
Project details
You will get a production-ready Retrieval-Augmented Generation (RAG) system built with Laravel 13 that transforms your documents into an intelligent knowledge base powered by modern AI models. The system allows users to upload files (PDF, DOCX, TXT), automatically processes and chunks the content, generates embeddings using interchangeable AI providers, and stores them in scalable vector databases such as Qdrant, Pinecone, or PostgreSQL with pgvector.
What sets this project apart is its modular architecture: every core component (embedding provider, vector store, and LLM engine) is fully swappable without rewriting business logic. This ensures long-term flexibility, scalability, and vendor independence.
Unlike typical RAG prototypes, this system is built with production standards in mind: queued background processing, API-first design, strict context-only LLM responses, and a clean Blade-based UI for direct interaction without frontend complexity.
The result is a fully functional AI-powered search and question-answering system that can be integrated into SaaS platforms, internal tools, or enterprise knowledge systems.
What sets this project apart is its modular architecture: every core component (embedding provider, vector store, and LLM engine) is fully swappable without rewriting business logic. This ensures long-term flexibility, scalability, and vendor independence.
Unlike typical RAG prototypes, this system is built with production standards in mind: queued background processing, API-first design, strict context-only LLM responses, and a clean Blade-based UI for direct interaction without frontend complexity.
The result is a fully functional AI-powered search and question-answering system that can be integrated into SaaS platforms, internal tools, or enterprise knowledge systems.
Programming Languages
PHP, JavaScript, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$199
|
Standard
$299
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 1 | 3 | 5 |
Design Customization | - | ||
Content Upload | |||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Docker Deployment
(+ 1 Day)
+$100
Pinecone Integration
+$100
OpenAI Integration
+$80Frequently asked questions
About Ahmad
Full-Stack Software Engineer | Laravel, React, Next.js, .NET | AI & Sc
Istanbul, Turkey - 4:15 pm local time
I’m a full-stack software engineer with 9+ years of experience building scalable, production-ready systems for startups and businesses across multiple industries.
Steps for completing your project
After purchasing the project, send requirements so Ahmad can start the project.
Delivery time starts when Ahmad receives requirements from you.
Ahmad works on your project following the steps below.
Revisions may occur after the delivery date.
Project Setup & Architecture
- Setup Laravel 13 project structure - Configure environment (.env) - Setup queue, storage, and base services
Document Ingestion Pipeline
- Upload PDF / DOCX / TXT files - Extract and clean text - Split into chunks for embedding