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 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

Salesforce Enterprise Deep Research

The Tavily Python wrapper allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python programs. Easily integrate smart search, content extraction, and research capabilities into your applications, harnessing Tavily's powerful features.

Code from tutorials presented on the "Code AI with Rok" YouTube channel

This AI Smart Speaker uses speech recognition, TTS (text-to-speech), and STT (speech-to-text) to enable voice and vision-driven conversations, with additional web search capabilities via OpenAI and Langchain agents.

An MCP server for Tavily's search API

🌪️ AI research assistant that generates Wikipedia-quality articles through multi-perspective analysis. Based on Stanford's STORM methodology.

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities.

Claude Plus is an advanced AI-powered development assistant that combines the capabilities of Anthropic's Claude AI with a suite of development tools.

This project implements an advanced Retrieval Augmented Generation (RAG) workflow to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a stateful, multi-step process that includes document retrieval, relevance grading, and web search fallback.

Product Ingredient Agent

An advanced AI-powered voice assistant that combines speech-to-text and text-to-speech capabilities with intelligent tool integration for seamless digital interactions.

AI-Enhanced Teaching Assistant: Bridging Instructor Knowledge and Web Intelligence

🩺 Imagine a Conversational AI assistant on your WhatsApp that helps you understand your symptoms and get potential diagnoses & treatment suggestions from reliable sources tailored to your symptoms.

🤖 📝 An AI-powered essay writing assistant that helps you plan, research, and write well-structured essays using OpenAI and Tavily APIs. Built with Streamlit and LangGraph.

This is a repository of collection of many agents build on top of Langchain , Langgraph, MCP and so many amazing tools

RAG-API: A production-ready Retrieval Augmented Generation API leveraging LLMs, vector databases, and hybrid search for accurate, context-aware responses with citation support.

First learning project on Multi-Agentic RAG using Langchain and LangGraph. You could check it out on the link below 😁

🛰️ Deep Research - Built to tackle complex, layered queries through iterative reasoning and web search. It decomposes queries into steps, synthesizes information from diverse sources, and refines answers through self-evaluation. Web search is powered by a multi-agent system, where specialized agents extract and evaluate content in parallel.