A production-grade AI Digital Twin built from scratch. Features an evolutionary architecture: starting from raw RAG & Memory experiments, evolving into an Agentic Workflow with Tool Calling with a Streamlit UI. Powered by LangChain, OpenAI, and ChromaDB.

AI-Powered Job Extraction and Cold Email Generator

In modern international business, conversations often shift between languages. Transcript AI bridges this gap by utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to ensure no context is lost in translation. It doesn't just transcribe; it understands business intent.

contextops

Shodhak - an AI-powered research assistant that helps you analyze and ask questions about multiple online articles simultaneously.

Sistema RAG de nueva generación powered by **Docling de IBM Research** para procesamiento inteligente de documentos complejos con análisis multimodal, extracción de tablas, descripción de imágenes y conversión a markdown estructurado.

A complete, structured, hands-on LangChain playlist covering everything from LLMs & embeddings to chains, runnables, retrievers, vector stores, tools, and RAG systems. This repository is designed to help you learn LangChain practically, step by step, with clean Python scripts and Jupyter notebooks.

Reto 1 - Optimización Inteligente de Procesos de Licitación en Construcción

[MJU] 명지대학교 입학관리팀 입학처 공식 AI챗봇 서비스(RAG방식 LLM 챗봇) - 명지대학교 입학처 홈페이지 운영중

AI-powered personalised study planner using RAG + LangChain + Groq Llama-3.1 + ChromaDB

Retail_QandA_Tool is an AI-powered Natural Language to SQL system for AtliQ Tees. It allows store managers to query inventory, sales, and discount data using simple natural language.

RAG application based on ayurvedic text Ashtang Hridayam

AI Resume Matcher is a Spring Boot + Spring AI application that uses Retrieval-Augmented Generation (RAG) concepts to rank resumes against a job description. It parses PDF resumes, chunks content intelligently, generates embeddings, stores vectors in ChromaDB, and returns the best matching candidates with scores and reasoning.

Building a chatbot using pre-trained LLM (Llama2) that can answer questions related to any topics it is trained on.

An AI-powered document search engine that connects to Notion and Google Drive. Uses LangChain4j, OpenAI embeddings, and ChromaDB to provide semantic search and natural language RAG answers.

Local Retrieval-Augmented Generation (RAG) pipeline using LangChain and ChromaDB to query PDF files with LLMs.

🧠 AI-powered Standard Operating Procedure (SOP) interpreter with voice-first interaction, Knowledge Graph intelligence, and RAG technology. Transform complex procedures into conversational AI assistance using React, FastAPI, Neo4j, and Groq LLM.