Revolutionary AI ETL with Medallion Architecture: Zero-touch autonomous & HITL pipelines on Databricks
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Updated
Aug 7, 2025 - Jupyter Notebook
Revolutionary AI ETL with Medallion Architecture: Zero-touch autonomous & HITL pipelines on Databricks
An Open Core scaffold for building powerful, production-ready agentic systems with LangGraph.
🤖 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.
LangGraph JS app based on CoinMarketCap API
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.
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.
This is a reasoning AI chatbot that uses Deepseek R1
Langgraph Agentic Chatbot
Job Interview Notification AI Agent (LangGraph JS)
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-based Gmail assistant with HITL, reminder dispatcher, and Gemini 2.5 tooling. Automates triage, replies, and reminder management for email workflows.
Successfully developed a Multi-Source Knowledge Intelligence Agent - an advanced agentic AI application that integrates multi-format document and web data processing with LLM-powered analytics and conversational intelligence. It analyzes multi-source data (URL/files) with AI-driven insights, sentiment analysis, knowledge graphs, and chat interface.
A chatbot that performs web searches on demand and notifies users with relevant results in real time.
A multi-agent chatbot with LangGraph, using Supervisor, Enhancer, Researcher, Coder, Validator, and Normal agents. Built with Flask + PostgreSQL, it supports authentication, session-based memory, and delivers accurate, context-aware responses.
My First RAG chatbot with PDF upload and memory - Streamlit + LangChain + Groq
NikhilRAG is an AI-powered RAG Chatbot that dynamically synthesizes my professional journey, projects, and skills. Powered by GPT and the LangChain framework, it answers questions like a chatbot, delivering insights into my technical expertise and career highlights.
A chatbot that leverages Large Language Models (LLMs) to perform real-time web searches using LangChain, Groq API, and various search tools. This project is deployed on Hugging Face Spaces.
This repository covers extensive tutorials on how to integrate LangSmith with LangChain with LangGraph to incorporate observability, monitoring, alerting, evaluation, etc. within complex LLM workflows and applications.
Using LangGraph to create agents
Showcases LangSmith integration in LLM apps—from simple Runnables to chains, RAG chatbots, agent workflows, and LangGraph orchestration. Enables tracing, debugging, monitoring, and evaluation of pipelines, tools, and workflows for full observability.
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