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 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.
The Generative AI Research Assistant is an intelligent tool built with LangGraph, Groq's LLaMA 3, and Tavily Search API that automates topic research, document summarization, and confidence scoring.
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.
A lightweight, multi-agent system built with LangGraph that customizes the research process using AI analysts and experts to generate comprehensive reports.
DeepResearchAgent is an AI-powered command-line agent that performs deep web research using APIs like Tavily and Gemini (OpenAI SDK). It provides real-time streaming answers to user queries with thoughtful analysis by combining reliable data retrieval and natural language reasoning.
A powerful, self-contained AI-powered LinkedIn profile analyzer that uses advanced scraping techniques and LangChain agents. No external API dependencies required - built with modern practices and clean architecture.
Accepts user questions via REST API Searches the web for relevant context using Tavily Loads and splits web documents for context Embeds documents with OpenAI embeddings Retrieves relevant context using FAISS vector store Generates answers using Groq's Qwen model
RAG-powered PDF QA system with self-reflection and multiple retrieval strategies (Stuff/Map Reduce/Refine). Includes monitoring via Langfuse & LangSmith and containerization with Docker
This repository contains a sophisticated AI agent built with LangGraph and LangChain that automates financial analysis workflows. The agent processes financial data from CSV files, performs competitor analysis, and generates detailed reports with interactive feedback loops.