You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.0 Flash and OpenAI's GPT-4.1 on the backend for inference.
Tathya (तथ्य, "truth") is an Agentic fact-checking system that verifies claims using multiple sources including Google Search, DuckDuckGo, Wikidata, and news APIs. It provides structured analysis with confidence scores, detailed explanations, and transparent source attribution through a modern Streamlit interface and FastAPI backend.
AI travel planner using Python, Flask, JSON, PyTorch, Google Gemini API, and Tavily API to generate personalized itineraries from user preferences and real-time data.
This repository serves as a hands-on guide to building conversational agents using LangGraph, a powerful library for creating stateful, multi-step LLM applications with graph-based logic. It includes progressively advanced examples, demonstrating how to construct intelligent workflows for chat and retrieval tasks.
Charming Data Open-Source Project. My contributions include attaching an SQLite Database to a Langchain SQL Agent to allow users to ask questions about the dataset using natural language in a Dash app interface.
A Model Context Protocol (MCP) server that provides a web search tool using the Tavily API. This server enables AI models to search the internet and retrieve up-to-date information.
A simple example of an AI agent and a LangGraph with AI agent that can understand natural language queries about planet masses and perform calculations in scientific notation. Built as a demonstration of basic AI agent architecture with skills, prompts, and testing.