AI-Powered Job Extraction and Cold Email Generator

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.

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.

Local Apple Silicon agentic rag support assistant: MLX LoRA fine-tuning + ChromaDB RAG

contextops

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.

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

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.

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

It is a E-Com customer Support agent who knows the database and having the power to do SQL queries. It knows the Knowledge-base of the companies policy by RAG.Having multiple tools.

SISTec Bot is an AI-powered college assistant designed to help students with academic queries, notices, resources, and campus-related information through an interactive and user-friendly chatbot experience.

SkillForge AI is a Multi-Agent Interview Preparation System built using CrewAI, Agentic RAG, ChromaDB, FastAPI, Streamlit, and Gemini 2.5 Flash.

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

RAG application based on ayurvedic text Ashtang Hridayam

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.

A FastAPI RAG service for multi-jurisdiction employment-law Q&A with streaming responses and automated evaluation metrics. Supports multiple LLM providers (Anthropic, OpenAI, Ollama) with prompt caching and ChromaDB vector retrieval.

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.

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.

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