You will get End-to-end Agentic AI RAG web app for your business with React /Angular UI
Project details
You will get a production-ready AI solution for your website—not a demo. I build end-to-end Agentic AI and RAG systems that can search your data, call tools safely, and generate structured, comprehensive reports with citations. My approach uses reliable orchestration (LangGraph / LangChain / CrewAI), schema-validated outputs, hybrid retrieval + reranking, and cost/latency controls so the system stays accurate and stable in real usage. I deliver clean APIs (FastAPI/Flask), optional UI integration, deployment guidance, and clear documentation so your team can run and extend the system with confidence.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Radial Basis Function Network, Recurrent Neural Network, Restricted Boltzmann Machine, Transformer Model, YOLOAI Applications
AI Chatbot, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AIOps, Conversational AI, Facial Recognition, Image Processing, Image Recognition, Sentiment Analysis, Sequence Modeling, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, Hugging Face, Jasper AI, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, DALL-E, GPT-4, LLaMA, Naive Bayes Classifier, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$750
|
Standard
$2,100
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 24 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.
Extra data source integration
(+ 2 Days)
+$400
PDF / Report Export Module
(+ 3 Days)
+$375
Multi-Agent Workflow Upgrade
(+ 3 Days)
+$1,100Frequently asked questions
About Harpreet
GenAI Engineer | AI Engineer | AI Developer | Agentic AI Architect
Spring, United States - 2:32 pm local time
I do best work when clients need a real working system (not just prompts): schema-validated outputs, tool-calling with guardrails, hybrid search + reranking, and evaluation/observability so the AI stays stable after launch.
What I build
AI chatbots / copilots for support, operations, claims, HR, security, and e-commerce
RAG systems: ingest → chunk → embed → retrieve → rerank → grounded answers
Agent workflows: planner + tools + memory + retries + circuit breakers
AI automation: intake → classify → summarize → route → tickets / reports / actions
Backend APIs + cloud deployment for AI apps (monitored, secure, scalable)
Tools
Python, TypeScript • FastAPI, Flask • LangGraph, LangChain, CrewAI, LlamaIndex • OpenAI, Claude, Gemini, AWS Bedrock • FAISS, Weaviate, pgvector, Pinecone • Postgres, Redis, S3 • Docker, CI/CD, Terraform • OpenTelemetry, CloudWatch, Prometheus/Grafana • LangSmith, RAGAS, TruLens • Security: RBAC, audit logs, PII controls and more
Steps for completing your project
After purchasing the project, send requirements so Harpreet can start the project.
Delivery time starts when Harpreet receives requirements from you.
Harpreet works on your project following the steps below.
Revisions may occur after the delivery date.
Data Sources & Access
Confirm goals, users, success metrics, report format, data sources, and constraints. Align scope, timeline, and risks before building.
Architecture + Retrieval Plan (RAG/Agents)
Design the workflow: ingestion, chunking, embeddings, hybrid retrieval, reranking, agent/tool calling, and output schema. Define evaluation plan and observability.