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VOOZH | about |
Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.
Revolutionary AI ETL with Medallion Architecture: Zero-touch autonomous & HITL pipelines on Databricks
🔍 AI observability skill for Claude Code. Debug LangChain/LangGraph agents by fetching execution traces from LangSmith Studio directly in your terminal.
🤖 CodeForge AI: An autonomous multi-agent coding system powered by LangGraph for agentic software development and automated workflows. SOTA custom agentic GraphRag, shared-state memory, auto-model routing for cost optimization, and a range of custom tooling.
An Advanced Retrieval-Augmented Generation (RAG) system powered by a Knowledge Graph + Neo4j + Cypher-based retrieval + Review loop architecture.
a self-improving analytical agent grounded in reflection design with external feedback to refine responses.
LangGraph JS app based on CoinMarketCap API
Intelligent Document Assistant with LangSmith (RAG)
An autonomous travel planning agent that creates full itineraries (flights, hotels, activities) using LangGraph and real-time Amadeus API data
This is a reasoning AI chatbot that uses Deepseek R1
A Python-powered web scraping tool with built-in article summarization, CLI and API interfaces, and Docker support. Ideal for extracting and managing web content at scale.
An in production RAG (Retrieval-Augmented Generation) web application that leverages Google Gemini Pro for question answering using user-uploaded PDFs or CSVs. Built with FastAPI, LangChain, Pinecone, and LangSmith for robust LLMOps, and deployed using Docker, GitHub Actions, and Render.
An AI-powered employee management demo built with JStack, LangGraph, and LangSmith, providing real-time insights and natural language interactions for streamlined HR analytics.
Langgraph Agentic Chatbot
Job Interview Notification AI Agent (LangGraph JS)
Production-grade multimodal RAG backend — async document ingestion, 4 retrieval modes, agentic generation with guardrails, powered by FastAPI, LangChain, and Supabase pgvector.
A lightweight, multi-agent system built with LangGraph that customizes the research process using AI analysts and experts to generate comprehensive reports.
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