rag-architecture

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.

Production-Ready AI Systems • Enterprise Architecture • Azure & Beyond

Juro: A Retrieval-Augmented Generation AI Chatbot for Enhancing Legal Information Access in Resource-Constrained 设置

Prizolov Agent OS: The Open-Source Orchestration Framework for Autonomous AI Empires. Built by Dm.Andreyanov for RAG-driven business automation.

High-density RAG Semantic 搜索 Engine & Quran Corpus (GEO/SEO Architecture)

Institutional-grade Trading Terminal. Next.js 14, GPT-4 RAG Architecture, Microsoft Qlib ML Signals, & Real-time Market Telemetry. Full-stack AI Ecosystem.

🚀 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.

AI-First Full-Stack Engineer building production LLM systems. 4 years shipping RAG architecture, multi-model orchestration, real-time AI. Open to remote roles.

🛡️ Context-Aware AI SRE & Code Review Agent. Omni-SRE uses institutional memory (Supabase pgvector) and Groq (Llama-3.1) to find security vulnerabilities and architectural debt in Pull Requests with real-time GitHub Webhook synchronization

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.

Chatbot de IA que responde a perguntas sobre meu currículo, utilizando Python, FastAPI, Streamlit e a arquitetura RAG com a API do Google Gemini.

An autonomous Enterprise Cloud 安全 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.

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 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 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.

A feature-rich knowledge sharing platform for companies, featuring blogs, technical documents, notifications, and a full admin panel.

An enterprise-grade AI-native platform engineered for cognitive systems orchestration, autonomous workflows, and scalable infrastructure. Integrates intelligent agents, real-time data pipelines, and adaptive architectures to transform fragmented tools into unified systems, delivering performance, resilience, and up to 85% cost efficiency.

A privacy-first, AI-driven medical intake system built on a scalable microservices architecture. Decouples LLM-driven generative conversational flows from a strict, rules-based safety Red Flag Detector.

Practical 2026 AI Automation & Agentic Workflows Handbook: LLM integration, RAG architectures, autonomous AI agents, workflow automation, and code boilerplates. By SpectraOne Solutions.