You will get I will build an AI chatbot using OpenAI, LangChain and RAG


Project details
You will get a production-ready AI chatbot powered by OpenAI, LangChain, and Retrieval-Augmented Generation (RAG) that can answer questions from your documents, knowledge base, website content, or business data. I specialize in building intelligent AI solutions that provide accurate, context-aware responses and improve customer support, internal knowledge management, and business automation. With 6+ years of software engineering experience and expertise in Generative AI, I deliver scalable, secure, and high-quality solutions tailored to your specific requirements.
Database Type
PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$150
|
Standard
$399
|
Advanced
$799
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 12 days |
Number of Revisions | 2 | 3 | 3 |
Source Code |
About Harshit
AI Engineer | Full Stack Developer | Building Intelligent Application
Gurgaon, India - 1:31 am local time
Hi, I'm Harshit.
I am a Full Stack Developer with 6+ years of software development experience and hands-on expertise in Generative AI, LangChain, LangGraph, RAG pipelines, AI Agents, React, Node.js, and Python.
I help startups, founders, and businesses build AI-powered products that automate workflows, improve productivity, and create better user experiences.
🔹 What I Can Help You Build
✅ AI Chatbots & Assistants
✅ Retrieval-Augmented Generation (RAG) Systems
✅ LangChain & LangGraph Applications
✅ Multi-Agent AI Workflows
✅ AI-Powered SaaS Products
✅ Document Q&A Systems
✅ Knowledge Base Chatbots
✅ Resume Screening & ATS Analysis Tools
✅ OpenAI API Integrations
✅ React, Node.js & Python Applications
✅ Full Stack Web Applications
🔹 Recent AI Projects
AI Resume Reviewer & Interview Coach
Built an AI-powered platform using LangGraph, LangChain, OpenAI, and Streamlit that analyzes resumes, generates ATS scores, identifies missing skills, suggests improvements, and creates personalized interview questions.
Multi-Agent AI Research Assistant
Developed a multi-agent research platform using LangChain, OpenAI, and Tavily Search that automates information gathering, research synthesis, and report generation.
🔹 Technical Stack
AI & GenAI:
OpenAI, LangChain, LangGraph, RAG, Agentic AI, Prompt Engineering, Vector Databases, FAISS, ChromaDB, Multi-Agent Systems
Frontend:
React.js, Next.js, Svelte, TypeScript, JavaScript, Tailwind CSS
Backend:
Node.js, Express.js, FastAPI, Python
Database:
MongoDB, PostgreSQL, SQL
🔹 Why Clients Work With Me
✔ Strong engineering background with 6+ years of experience
✔ Ability to take ideas from concept to production
✔ Clean, scalable, maintainable code
✔ Excellent communication and transparency
✔ Focus on business outcomes, not just code
Whether you need an AI chatbot, a RAG application, an AI automation workflow, or a complete full-stack solution, I can help turn your idea into a reliable product.
Let's discuss your project and explore how AI can create measurable value for your business.
Steps for completing your project
After purchasing the project, send requirements so Harshit can start the project.
Delivery time starts when Harshit receives requirements from you.
Harshit works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering & Solution Design
Review your business requirements, documents, and data sources to define the best AI chatbot solution.
Knowledge Base Setup & AI Development
Process documents, create embeddings, configure vector databases, and build the AI chatbot.