Jambo - JSON Schema to Pydantic Converter

A LangChain-powered conversational chatbot with retrieval-augmented generation (RAG), OpenAI integration, memory, and PDF/text document support.

Ninja Navigator AI is a multi-agent orchestration system designed to deliver intelligent, actionable travel plans based on a user’s natural language query. It harnesses multiple specialized agents that work independently and collaboratively to research, analyze, and generate complete itineraries.

A powerful, easy-to-use platform for question answering over documents, web pages, research papers, audio, and video files.

speakBuddy is a real time talking model that speak and listen to you and responds to your question.

⭐Conversational AI assistant for car rental customer service built with Spring Boot and LangChain⭐

Pugcrawl is a lightweight and easy-to-use crawler that extracts data from any website in seconds using AI, with typed results.

A Retrieval-Augmented Generation (RAG) Chatbot built with FastAPI that allows users to query information from PDF documents, websites, and YouTube videos. The project integrates LangChain, OpenAI API, Pinecone, AssemblyAI, and yt-dlp to provide intelligent, real-time, context-aware answers.

An ai agent which uses RAG, semantic router to answer healthcare queries.

Upload Your PDF and Chat with your file. Using My AI Agent.

ChatBot NL to SQL using LLM

RAG system with backend API for natural language search through technical documentation. Built with FastAPI, LangChain, and OpenAI. Try it live at marcin-oleszczyk.pl/techdocs

Build a multi-agent LLM system that simulates financial analysis.

A modern, AI-powered blogging platform with advanced editorial workflows, role-based permissions, and intelligent content generation.

Made a web searching tool chatbot

Personal Assistant for Job Interview Preparation

A Python app that lets you ask plain-English questions about PDF documents, using Retrieval-Augmented Generation and conversational retrieval to provide accurate answers.

EvolvAI RAG es un sistema de Generación Aumentada por Recuperación (RAG) implementado en Java que permite crear aplicaciones conversacionales con acceso a información contextual. El sistema utiliza una arquitectura hexagonal (puertos y adaptadores) que separa claramente las responsabilidades y facilita tanto el mantenimiento como las pruebas.

This project demonstrates the power of LangChain by implementing four distinct workflows—simple, sequential, parallel, and conditional chains—using OpenRouter’s DeepSeek model. It processes text inputs to generate facts, summaries, notes, quizzes, and sentiment-based responses and more.

An AI-powered tool that automatically processes PDF files containing multiple bank statements and separates them into individual files. Built with LangChain and LangGraph for robust stateful AI processing.