Custom AI RAG integration to your app | End-to-End development by Mohamed DevCustom AI RAG integration to your app | End-to-End development by Mohamed Dev
Custom AI RAG integration to your app | End-to-End developmentMohamed Dev
Cover image for Custom AI RAG integration to your app | End-to-End development
📦 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.

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.
FAQs
It depends on the scale of your app and data you want to train your module.
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
Yep, I can pick you where you left and continue from there.
Example work
Full Stack AI RAG Chat Agent & Mobile Native Porting
Contact for pricing
Schedule a call
Tags
GraphQL
Node.js
React
Ruby
TypeScript
Backend Engineer
Software Engineer
Web Developer
Service provided by
Mohamed Dev Ottawa, Canada
5.00
Rating
4
Followers
Custom AI RAG integration to your app | End-to-End developmentMohamed Dev
Contact for pricing
Schedule a call
Tags
GraphQL
Node.js
React
Ruby
TypeScript
Backend Engineer
Software Engineer
Web Developer
Cover image for Custom AI RAG integration to your app | End-to-End development
📦 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.

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.
FAQs
It depends on the scale of your app and data you want to train your module.
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
Yep, I can pick you where you left and continue from there.
Example work
Full Stack AI RAG Chat Agent & Mobile Native Porting
Contact for pricing