Build RAG Systems using Python, LangChain and Gemini API at Webgapp, Madurai. Not theory — you deploy a live AI system that thinks, decides and acts on its own. Students join from Chennai, Coimbatore, Trichy, Dindigul and across Tamil Nadu.
Retrieval Augmented Generation (RAG) solves a fundamental limitation of AI — standard AI models like ChatGPT cannot answer questions about your private documents, internal data or recently updated information. RAG combines a search system (retrieval) with an AI model (generation) to answer questions accurately from any document collection. You build the complete system from document loading to accurate AI answers.
Every day your team teaches for 45 minutes then you build. By week 4 you have a deployed live AI agent application.
Not promises — this is what every intern before you already received.
AI Agent Development is among the highest-paid and fastest-growing roles in India's technology sector in 2025.
All tools are free or have free tiers. No paid software required.
Understand what makes this programme different from a standard AI or Python internship.
| Feature | Regular AI Internship | RAG Systems — Webgapp |
|---|---|---|
| What you build | ML model or basic chatbot | Autonomous AI agent with tools and memory |
| Technologies taught | Scikit-learn, pandas, theory | LangChain, Gemini API, ChromaDB, Streamlit |
| Live deployment | Rarely | Yes — Streamlit Cloud with public URL |
| GitHub portfolio | Usually not tracked | Under Webgapp org — 20+ daily commits |
| Industry demand 2025 | Medium | Highest — very few trained professionals |
| Salary range | ₹3–8 LPA | ₹5–30 LPA |
| Certificates | 1 generic certificate | 3 certificates + Letter of Recommendation |
| Project shows to HOD | Theory project / notebook | Live running AI agent — opens on any browser |
4.8★ rated by 382 students on Google — Madurai's most reviewed internship training company.
Everything you need to know about the AI Agent Development internship at Webgapp.
RAG — Retrieval Augmented Generation — is technology that makes AI answer accurately from your private documents and data. Standard AI like ChatGPT does not know about your company data, college notes or private files. RAG solves this. It is the technology behind enterprise AI search and document intelligence.
Prompt Engineering internship or equivalent knowledge of Python and Gemini API is required. You should know how to make basic API calls in Python and understand prompt structures. Completing the Webgapp Prompt Engineering programme first is strongly recommended.
A complete RAG application where users upload any PDF document, the system converts it to embeddings stored in ChromaDB, and users can ask questions in natural language — getting accurate answers with citations showing exactly which part of the document the answer came from. Deployed live on Streamlit Cloud.
Three certificates — Internship Certificate from Webgapp, Internship Certificate accepted by all affiliated colleges and universities, and Training Assessment Certificate.
A chatbot uses a pre-trained AI with fixed knowledge. RAG dynamically retrieves information from your specific documents before generating an answer — meaning it can answer accurately about any content you provide. The AI does not need to be re-trained for new documents.
The registration fee for 1-month RAG Systems internship is Rs.5,500. Contact us for current batch dates and availability.
Take all 3 together as the Complete AI Engineer Program — or add them one at a time.
Limited seats per batch · Max 22 students · Morning and afternoon slots · Madurai
