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A sophisticated RAG (Retrieval-Augmented Generation) Telegram bot that transforms articles and documents into interactive knowledge bases. Upload PDFs/URLs and get AI-powered answers with source citations.
🚀 Advanced AI Agents Course & Implementation using LangChain, LangGraph, and Groq in Node.js. Features autonomous ReAct agents, RAG pipelines, Text-to-SQL/MongoDB database agents, persistent memory, and intelligent routing. Perfect for MERN stack developers transitioning to AI.
A production-grade RAG system and neural voice assistant for low-resource Kannada literature ('Heli Hogu Kaarana'). It features BM25 + ChromaDB hybrid search with page-level routing, Gemini/Groq model fallbacks, and Sarvam AI TTS for streaming audio. Validated using RAGAS with 0.92 Faithfulness and 0.88 Answer Relevancy.
AI-First Full-Stack Engineer building production LLM systems. 4 years shipping RAG architecture, multi-model orchestration, real-time AI. Open to remote roles.
An autonomous Enterprise Cloud Security platform that utilizes Computer Vision Machine Learning to detect Deepfakes and malicious Generative AI media. It automatically quarantines AWS S3 infrastructure using a RAG-Sec Engine and Agentic LLM Auto-Patching.
An AI-powered RAG SaaS that transforms static PDFs into interactive, voice-synthesized personas. Features real-time ultra-low latency conversations using Vapi and 11 Labs, built with a secure Next.js 15+ architecture, MongoDB indexing, and Clerk billing.
This project is a Retrieval-Augmented Generation (RAG) pipeline built over a sampled subset of the arXiv academic paper metadata. It was developed as a submission for the TechHub CodeSprint Challenge 2026.
An advanced AI Medical Chatbot featuring a Hybrid RAG architecture, ClinicalBERT embeddings, smart allergy filtering, and emergency failover for precise healthcare assistance.
This project is a complete local RAG system for answering questions over document collections such as PDFs. It indexes documents, builds vector search indexes, routes queries to the right retrieval strategy, grades candidate results, and generates final answers with an LLM.
Transform your legal document review from days to minutes with LegalRAG. Our AI assistant understands complex legal questions, searches thousands of documents with semantic precision, and delivers professional answers with source citations. Experience faster case prep and thorough due diligence.
An enterprise-grade orchestrator for multilingual AI voice agents. Powered by Azure Speech and GPT-4o RAG to deliver zero-latency, hallucination-free support in any language.
An autonomous, Multi-Cloud (AWS/Azure) Posture Management System powered by Graph Machine Learning (NetworkX) and Retrieval-Augmented Generation (RAG-Sec) to dynamically predict and auto-patch toxic cloud configurations.