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lang-test

Multi-agent AI research system built with LangChain and LangGraph. Automatically generates search queries, spawns parallel search agents, filters results by relevance, and synthesizes comprehensive research reports.

Features

  • 🧠 Intelligent Query Generation - Automatically creates 3-5 diverse search queries from any topic
  • 🚀 Parallel Search Agents - Spawns multiple agents to search concurrently
  • 🔬 AI-Powered Filtering - Analyzes and ranks results by relevance (0-10 scale)
  • 📊 Comprehensive Synthesis - Combines findings into structured reports with sources
  • 💾 MongoDB Storage - Saves research results for future reference

Prerequisites

  • Node.js
  • Ollama running locally
  • SearxNG running locally
  • MongoDB running locally

Setup

  1. Install dependencies:
yarn install
  1. Copy .env.example to .env and configure:
cp .env.example .env
  1. Run:
yarn dev

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Multi-agent AI research system built with LangChain and LangGraph

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