Jambo - JSON Schema to Pydantic Converter

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

Runtime security layer for AI agents — enforces policy on tool calls to help prevent prompt injection, unsafe actions, and data exfiltration.

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

A RAG-powered AI for document-based question answering.

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

Official organization profile, public documentation, and company overview for Bits and Brains

A complete 500-problem roadmap to master LangChain and LangGraph — from basic workflows to advanced agents, RAG systems, multi-agent graphs, safety, evaluation, and production-ready AI orchestration.

MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.

An intelligent system that analyzes resumes against job descriptions using LLMs and vector embeddings, while also acting as a personal knowledge engine for storing and querying content.

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.

Beginner-friendly LangChain roadmap to learn LLMs, GPT-4, RAG, Agents, and AI chatbots — from basics to production. Includes free resources, project ideas, and career tips.

ChatBot NL to SQL using LLM

Example Langchain agent to demonstrate the potential use of Neo4j graph database as memory.

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.

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

FinSense — a local-first AI copilot that lets you chat with your bank statement.

Minutes of Meeting Assistant

A full-stack Retrieval-Augmented Generation (RAG) application.

Chatbot em Python que lê PDFs e TXTs e responde perguntas usando LangChain, FAISS e Ollama.