Custom AI RAG integration to your app | End-to-End development

Mohamed Dev

Contact for pricing

About this service

Summary

📦 RAG AI Implementation | End-to-End Service
I help teams integrate Retrieval-Augmented Generation (RAG) into their existing applications, from raw data to lightning-fast, production-ready AI features.
What you get:
Full pipeline implementation: I handle everything, converting your training data, embedding it, uploading to a vector database, integrating RAG into your live app, and optimizing response times to under 500ms per query.
Tailored to your use case: Whether it’s internal knowledge search, customer support, or personalized content generation, I’ll adapt the setup to your exact needs.

FAQs

  • How long this will take?

    It depends on the scale of your app and data you want to train your module.

  • I have custom requirements!

    That's fine, just hit me up with a call, and I'm happy to do a custom implementation with a deal that works for you

  • I tried to build this before, but I couldn't get it there, can you pick up from there?

    Yep, I can pick you where you left and continue from there.

What's included

  • Custom AI RAG

    - Convert all of your PDFs, text files, voice notes, or any kind of data, into chunks to train the AI with. - Set up and connect the server that holds the training data - Connecting the server to your existing application and making it work with the LLM in it. - Optimizing the build to reduce costs and speed up responses (caching, server connections, etc...) to get to 500 ms respond time per query.

Example projects

a link to the video instead.

Full Stack AI RAG Chat Agent & Mobile Native Porting

Recommendations

(5.0)

Akram Klai

Client • Jul 19, 2025

Recommended

Throughout our work together, Mohamed has shown to be an adaptive and creative problem solver. I was impressed by his level of expertise in not only his programming and other technical skills but also in managing and resolving conflicts that arise during development. One crucial thing that solidified our bond was our direct communication. Mohamed helped ensure that we discussed ideas, addressed issues, and kept ourselves on the same level of understanding. I absolutely recommend him!

Skills and tools

Backend Engineer

Software Engineer

Web Developer

GraphQL

GraphQL

Node.js

Node.js

React

React

Ruby

Ruby

TypeScript

TypeScript

Industries

Artificial Intelligence
Engineering & Architecture
Computer Software