You will get a Production Ready RAG System | AI Chatbot | RAG System Developer
Top Rated
Project details
Build a production-ready RAG System for AI chatbots, AI search, document AI, and enterprise automation. I specialize in scalable RAG System development using OpenAI, LangChain, Pinecone, ChromaDB, pgvector, Next.js, and Node.js.
This RAG System service helps businesses create accurate AI assistants that retrieve information from PDFs, APIs, databases, websites, and internal documents. A properly optimized RAG System improves AI accuracy, reduces hallucinations, and delivers reliable conversational AI experiences.
Your RAG System includes:
✔ OpenAI GPT-4 / GPT-4o integration
✔ Vector database setup for your RAG System
✔ Document ingestion pipeline
✔ Retrieval optimization for better RAG System accuracy
✔ AI chatbot with RAG System workflows
✔ LangChain / LangGraph RAG System integration
✔ Backend APIs for scalable RAG System deployment
✔ Secure and production-ready RAG System architecture
I build high-performance RAG System solutions for SaaS platforms, healthcare apps, customer support AI, and enterprise AI products. Every RAG System is designed for scalability, reliability, and real-world business use cases.
This RAG System service helps businesses create accurate AI assistants that retrieve information from PDFs, APIs, databases, websites, and internal documents. A properly optimized RAG System improves AI accuracy, reduces hallucinations, and delivers reliable conversational AI experiences.
Your RAG System includes:
✔ OpenAI GPT-4 / GPT-4o integration
✔ Vector database setup for your RAG System
✔ Document ingestion pipeline
✔ Retrieval optimization for better RAG System accuracy
✔ AI chatbot with RAG System workflows
✔ LangChain / LangGraph RAG System integration
✔ Backend APIs for scalable RAG System deployment
✔ Secure and production-ready RAG System architecture
I build high-performance RAG System solutions for SaaS platforms, healthcare apps, customer support AI, and enterprise AI products. Every RAG System is designed for scalability, reliability, and real-world business use cases.
AI Algorithms
Autoencoder, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI-Generated Code, AIOps, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, Dolly, GPT-3, GPT-4, GPT-J, GPT-Neo, LaMDA, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$249
|
Standard
$649
|
Advanced
$1,449
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
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
+$50
Additional Revision
+$50
Vector Database Integration
(+ 3 Days)
+$150
Cloud Deployment for RAG System
(+ 2 Days)
+$150
Advanced RAG System Optimization
(+ 2 Days)
+$250Frequently asked questions
24 reviews
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FJ
Felix J.
May 18, 2026
MERN Stack Developer for Dashboard Feature Enhancement
Great experience. Dashboard improvements were implemented smoothly and the UI looks
much better now. Delivered as promised.
much better now. Delivered as promised.
FT
Fady T.
Apr 16, 2026
PropTime USA Website
Everything went great, of course no project finishes on time given all the technology changes and additional requests but Adil was very good in getting all our requests accommodated and got us the project completed
AS
Alexis S.
Mar 2, 2026
Next.js Performance Optimization and Bug Fixes
Improved performance significantly and fixed UI glitches quickly. The app feels much smoother now. Great work.
AS
Alexis S.
Feb 23, 2026
MERN Stack Bug Fixes and Minor Backend Updates
Very easy to work with. Backend API issues were resolved quickly and everything works as
expected now.
expected now.
ZA
Zohaib A.
Feb 22, 2026
Expert Full stack developer
Great experience working together. He handled everything end-to-end as a full stack developer and made the process pretty smooth. Code was clean, delivered on time, and he was quick to fix or adjust things when needed. Communication was solid throughout, which made a big difference. Overall, reliable and easy to work with would definitely hire again.
About Adil
Full-Stack Dev | React, Claude, Supabase, n8n, Automation, PostgreSQL
100%
Job Success
Lahore, Pakistan - 6:37 pm local time
⭐️ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 on Upwork
💯 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 (and proud of it!)
💰 $𝟑𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝
🏅 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐒𝐞𝐥𝐥𝐞𝐫
🕒 𝟗+ 𝐲𝐞𝐚𝐫𝐬 in web development: 5+ as a software engineer at product companies (Signavio, Airlift), 4 freelance
Most founders find me after a React or Next.js build stalled: slow pages, brittle APIs, an AI feature that never shipped. I'm a full-stack developer (React, Next.js, Node.js, TypeScript, Python) who does AI and API integration properly: RAG, agents, workflow automation, and Claude/OpenAI in production.
𝗠𝘆 𝗖𝗼𝗿𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀
→ Full Stack Development (Start to Finish)
The load-bearing stuff done right, so it doesn't break at 2 am. React and Next.js App Router (Server Components, SSR/ISR/CSR, performance optimization), Node.js, NestJS, Python (FastAPI), REST and GraphQL. Supabase and PostgreSQL with row-level security, real-time subscriptions, and multi-tenancy. Auth and RBAC for B2B SaaS. Stripe subscriptions and metered billing that doesn't leak revenue. TypeScript-strict throughout. Built for SaaS from day one: multi-tenant architecture, subscription billing, and scale.
→ AI Development & Integration
A working AI layer on software that already has users. RAG pipelines on Pinecone, pgvector, and Chroma (legal search, healthcare KBs, enterprise Q&A). Chatbots that retrieve from your actual data instead of guessing at it. Claude API, OpenAI GPT-4o, function calling, structured outputs: LangChain and LangGraph agents and multi-agent workflows.
→ API Integration & Automation
Third-party APIs, CRM systems, payment gateways, legacy service connections. AI-powered workflow automation built in n8n, Make. com, Zapier, and GoHighLevel. 390+ hours on a single ongoing API integration and GoHighLevel automation contract.
→ 𝐑𝐞𝐬𝐜𝐮𝐢𝐧𝐠 𝐄𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐁𝐮𝐢𝐥𝐝𝐬
Inherited codebase, missing docs, previous developer gone. I take it over, stabilize it, and leave it handoff-ready.
𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞
→ Frontend:
React | Next.js App Router | Server Components | SSR / ISR / CSR | TypeScript | Tailwind CSS | Performance Optimization
→ Backend:
Node.js | NestJS | Python | FastAPI | REST APIs | GraphQL
→ Databases:
PostgreSQL | Supabase | Row-Level Security | Realtime | Multi-Tenancy
→ AI & RAG:
Claude API | Claude Code | OpenAI API | GPT-4o | Function Calling | Structured Outputs | LangChain | LangGraph | AI Agents | Pinecone | pgvector | Chroma | Vector Databases | AI Chatbots
→ Automation:
Workflow Automation | n8n | Make. com | Zapier | GoHighLevel | Webhooks | CRM Integrations
→ Auth & Payments:
Clerk | Supabase Auth | RBAC | Stripe API | Subscriptions | Metered Billing
→ DevOps & Tools:
AWS | GCP | Vercel | Docker | GitHub Actions | CI/CD
𝐑𝐞𝐜𝐞𝐧𝐭 𝐁𝐮𝐢𝐥𝐝𝐬
→ 𝐄𝐧𝐭𝐫𝐞𝐩𝐞𝐝𝐢𝐚: PLR marketplace SaaS on Next.js with Stripe billing
→ 𝐇𝐞𝐚𝐥𝐭𝐡𝐝𝐞𝐬𝐤𝐀𝐈: AI CRM that turns leads into booked clients for fitness businesses
→ 𝐑𝐞𝐬𝐭𝐨𝐂𝐨𝐦𝐦𝐚𝐧𝐝: restaurant SaaS with AI demand forecasting that takes the guesswork out of inventory
→ 𝐒𝐞𝐥𝐥𝐫𝐆𝐫𝐢𝐝: multi-tenant marketplace built to onboard vendors without things breaking
→ 𝐒𝐦𝐚𝐫𝐭 𝐓𝐫𝐚𝐢𝐧𝐞𝐫 𝐋𝐌𝐒: learning platform with AI analytics and auto-generated certificates
→ 𝐑𝐀𝐆 𝐂𝐫𝐲𝐩𝐭𝐨 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦: pulls clear answers out of scattered market data
𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤
→ Scope first. No code until we're aligned on exactly what we're building
→ Architecture doc before a single line is written
→ Weekly staging demos. Working software you can click, not status updates
→ Handoff-ready, TypeScript-strict code your next dev will thank me for
📩 Tell me what you're building: the idea, your timeline, your budget. I'll walk you through exactly how I'd approach it. I usually reply within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Adil can start the project.
Delivery time starts when Adil receives requirements from you.
Adil works on your project following the steps below.
Revisions may occur after the delivery date.
RAG System Requirement Analysis
Analyze your RAG System goals, data sources, AI workflow, and technical requirements.
RAG System Architecture Setup
Design and set up the RAG System architecture, vector database, and AI pipeline.