rag-pipelines

A deep-dive LLM engineering lab — agents, RAG, fine-tuning, inference optimization, model deployment, hands-on research, and ongoing paper tracking.

Built a Retrieval-Augmented Generation (RAG) chatbot using LangChain and OpenAI models.

RAG-based conversational AI for Superior University — 4,750+ pages indexed using LangChain, FAISS, and Groq LLM

Smart text chunker for LLM preprocessing (sections → paragraphs → sentences → hard splits).

This course is designed to teach you how to QUICKLY harness the power of the LangChain library for LLM applications. Build 3 end-to-end working LangChain based generative AI applications with no fluff, no toy examples - just real projects using real APIs and real-world skills.

Persistent memory and context management for AI agents. Enable long-term recall, session continuity, and consistent behavior across conversations and workflows.

Built and benchmarked a scalable semantic retrieval pipeline comparing lightweight bi-encoders and QLoRA-tuned large cross-encoders under real-world efficiency constraints

Official MCP Server for Agent-Commerce-OS. Enables AI agents (Claude, etc.) to autonomously normalize web data via our Zero-Trust and Metered Billing infrastructure.

Decentralized Web3 security protocol for protecting crypto assets from rug pulls and malicious activities using smart contracts, anomaly detection, automated fund recovery, and real-time transaction monitoring. Built at Hackspire 1.0.

Track member activity, popular channels, peak times, and growth trends. Community data without expensive analytics platforms.

Full-Stack Developer | Blockchain & Cybersecurity Enthusiast | Building scalable and secure digital solutions.

A simple RAG project to fetch answers from Wikipedia/Research papers

A high-performance, production-grade pre-LLM document intelligence operating system that transforms unstructured documents into synchronized mathematical representations to build budget-aware, optimized context for AI agents.

Agentic RAG (Retrieval-Augmented Generation) system using LangGraph with minimal code. Most RAG tutorials show basic concepts but lack production readiness — this repo bridges that gap by providing both learning materials and deployable code.

AI-powered loyalty program plugin for RAG pipelines. Automate rewards, boost retention, and maximize customer lifetime value on WordPress.

An advanced Agentic AI Orchestrator disguised as a Microsoft Outlook Add-in. It intercepts communications and schedules tasks using a Multi-Tier Semantic Router, a specialized Physics Engine, and an asynchronous Two-Phase RAG pipeline to protect deep work.

A robust, production-grade pipeline converting complex Medical PDFs into structured, RAG-ready JSONL datasets. Features smart table merging, multimodal extraction, and dynamic layout analysis using Detectron2 & PaddleOCR.

This is a comprehensive Retrieval-Augmented Generation (RAG) system built with Gemini 2.5 Flash and Qdrant. It features a modular multi-page Streamlit interface for seamless configuration, document ingestion, and intelligent chatting.

WordPress plugin for indexing, organizing, and showcasing RAG pipelines. Searchable directory with filtering, automation integration, and SEO built-in.

Gate RAG pipelines by membership tier. Monetize AI access, control permissions instantly, sync with WordPress membership—no coding.