You will get AI Agentic Assistant with LLM + RAG + Integrations
Project details
You’ll get a fully functional, production-grade AI chatbot built with LLMs and RAG — tailored to your content, brand, and users. This isn’t just a basic prompt wrapper. I build clean, fast, full-stack apps that pull real knowledge from your own docs, sites, or internal data, and return natural, accurate responses.
With 6+ years of experience building AI-native apps and running a dev studio, I handle everything end-to-end: LLM integration, vector DBs, embeddings, chat UI, and deployment. Whether you're building a customer support bot, internal knowledge assistant, or expert-facing tool, I’ve got you covered.
You’ll get a polished product that’s easy to use, easy to maintain, and scalable from day one.
With 6+ years of experience building AI-native apps and running a dev studio, I handle everything end-to-end: LLM integration, vector DBs, embeddings, chat UI, and deployment. Whether you're building a customer support bot, internal knowledge assistant, or expert-facing tool, I’ve got you covered.
You’ll get a polished product that’s easy to use, easy to maintain, and scalable from day one.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, Conversational AI, Facial Recognition, Image Recognition, Object Detection, Speech Synthesis, Text RecognitionAI Development Language
PythonAI Tools
Hugging FaceAI Models
BERT, GPT-4, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 4 |
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
+$250 - $950
Additional Revision
+$100Frequently asked questions
About Snehan
AI-Native Full Stack Dev | Next.js, LLMs, TypeScript, Postgres
Malmoe, Sweden - 9:10 am local time
From fast MVPs to production-ready SaaS platforms, I work across:
- AI/LLM features: OpenAI, LangChain, custom AI agents
- Frontend: Next.js, React, Tailwind, shadcn/ui
- Backend: Postgres, Drizzle, Node, Python
- Infra: Vercel, Docker, AWS/Azure
I've shipped apps used by thousands, helped startups raise funding, and built internal tools that save teams hundreds of hours.
If you’re looking for someone who can handle frontend, backend, database, UX, and AI without the usual overhead, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Snehan can start the project.
Delivery time starts when Snehan receives requirements from you.
Snehan works on your project following the steps below.
Revisions may occur after the delivery date.
Project kickoff + requirements gathering
We’ll schedule a quick call or chat to understand your use case, content scope, and tone. You’ll share the materials the chatbot should be trained on.
Initial design + prototype delivery
I’ll share a working prototype with basic UI and chatbot logic wired to OpenAI. You can test it and give feedback before final integration.