Langchain agents

Creating Agent Swarm using Open AI, Autogen and Langchain

Develop a Flipkart Product Recommender Chatbot using Retrieval-Augmented Generation (RAG) to provide accurate, context-aware product recommendations based on a specific dataset. The system leverages LangChain and LangGraph within a containerized microservices architecture for scalability and observability.

JavaScript for MultiMindSDK – bring advanced context transfer and multi-LLM orchestration, Node.js apps, and web tools

Foundational bootcamp on LLM usage (prompting & inference) → tooling & orchestration (LangChain, agents) → Retrieval-Augmented Generation (RAG) → advanced multi-tool/agent patterns.

Quick swarm orchestration with generalist agent and a sql agent (chief recipe)

AI Web Apps - Next.JS

Comparing vector-only RAG with GraphRAG (neo4j+milvus) for semantic and structural code search in JavaScript.

Python Streamlit web app utilizing LangChain and the OpenAI API GPT 3.5 Turbo language model to generate example movie concepts based on the AI director(Spike Lee, Quentin Tarrentino, Wes Anderson) and user input, and then the DALLE2 image generation model to generate relevent movie poster.

💵 Real-time financial intelligence for your codebase. Implemented via VS Code extension + Web Sandbox (Next.js, LangChain, Gemini, MongoDB)

The Missing sudo Command for AI Agents.

DevOps-AI

AI-Powered Study Plan and Book Summarization is a powerful repository that combines two cutting-edge AI solutions: a personalized study plan generator and a hierarchical book summarization system.

This repository contains practical examples and sample projects demonstrating how to use Moorcheh, a framework for building AI-powered chat applications.

AI powered ATS compatible resume generator

Multi-step Agentic Self-Corrective RAG with websearch

A production-style, agentic AI trading bot that combines LLM reasoning, sentiment analysis, market indicators, and broker APIs to make and (optionally) execute trading decisions.

Building a chatbot using Streamlit, LangChain, and SQLite

(Experimental) Docsally is your smart PDF assistant, powered by Ollama—instantly understanding your documents and answering your questions with AI insights.

An AI-based tool that automates market research survey generation and provides a simple UI using streamlit

A curated collection of production-ready agentic AI projects—showcasing automation, LLMs, and intelligent agents for real-world applications.

EduGenius is an innovative AI-powered tutoring platform addressing challenges in modern education by offering personalized and efficient tutoring for O/Level students in mathematics.

Customer Support Chatbot that answer all your question about what your purchase. The Chatbot is build with Langchain, chromaDB, Groq, HuggingFace, Streamlit, and etc.

CogniVault is a modular, CLI-based multi-agent assistant designed to help you reflect, refine, and organize your thoughts

🥇 Raise Your Hack Paris - Concierge AI Travel Agent

In the deepest waters of the ocean, the orca navigates with intelligence, curiosity, and precision — the same spirit that guides every research journey.

A cloud-native RAG system for research paper analysis featuring structured PDF ingestion via LangExtract, high-speed Groq (Llama 3.3) inference, and Supabase vector storage.

Create agentic systems from scratch and monitor them using LangGraph studio

LinkedIn company profiles finder using LangChain Agents

Multi-agent medical assistant for medical Q&A, RAG, web retrieval, and medical image analysis with human review.

This repository contains Model Context Protocol (MCP) server implementations that demonstrate how to create and integrate custom tools and data sources with AI applications. MCP is an open-source standard that enables AI applications like Claude or ChatGPT to connect to external systems, data sources, and tools in a standardized way.

This project is an innovative coffee shop application designed to bring an engaging and personalized experience to coffee lovers. The app leverages AI-powered agents for chat-based interactions and integrates modern web and mobile development techniques to provide seamless ordering and delivery services.

QueryGenie.AI is a Generative AI tool to extract data from a database by using simple Natural Language. This tool takes question in the form of natural language and convert that into SQL query then it shows both SQL query and exact answer as output to the user.

Use your ComfyUI anywhere. ComfyPlus_Anywhere is an open-source plugin that lets you deploy ComfyUI on any computer and remotely access it from any device with a simple Token connection.

Agentic chatbot for food-delivery order queries: SQL agent over order DB → LLM-powered, guardrailed responses. LangChain, OpenAI/Claude, SQLite.

Runtime control of LLM agent behaviors through activation steering vectors. More calibrated than prompting.

PDF Ninja is a modern AI-powered PDF SaaS built with Next.js, enabling seamless document viewing, conversion and secure authentication.

AI-powered tool that transforms complex research papers into clear, customized explanations. Uses LLMs (GPT-4, Claude, Gemini) to provide adaptive insights from high school to expert levels. Built with Python, Streamlit, and LangChain. Ideal for students, researchers, and lifelong learners. 🌟 Star us for updates! 🤝 Contributions welcome!

本地中文小说创作 Agent (LangChain 1.0 + LangGraph)

LLMOps API 是一个基于 Flask 的 API 服务，用于构建、管理和部署基于大语言模型的智能体应用。该项目集成了 LangGraph 和 LangChain，提供了一套完整的工具链，用于创建具有状态、多角色的智能体应用程序。

Next-Gen Indonesia IT Law Q&A: Knowledge Graphs & LLMs. ArangoDB Hackathon Project Repository: Building the Next-Gen Agentic App with GraphRAG & NVIDIA cuGraph.

A deep-dive LLM engineering lab — agents, RAG, fine-tuning, inference optimization, model deployment, hands-on research, and ongoing paper tracking.

A chat bot for domain specific knowledge. Headless RAG for the enterprise. RAG as a service.

AI-powered multi-agent financial advisor system with LangGraph orchestration across nine specialized agents including retrieval, portfolio analysis, market desk, due diligence, and compliance, routing through a LiteLLM gateway, computing real portfolio risk metrics, and holding risky answers for human review before they reach the user.

Shopping AI assistant with recipe tools, product search, and semantic caching for grocery e-commerce.

LangGraph: Multi-Agent Supervisor Chatting with a User

A full-stack web application that automates the extraction of job postings from career websites and generates personalized cold emails using AI agents. Built with React frontend and FastAPI backend powered by CrewAI and LangChain.

Just LangChain for beginners tutorial in Persian.

AI-powered murder mystery game platform. Multi-Agent collaboration with LangChain4J, RAG memory system - Spring Boot + React

Colombian SME Agent: LangChain+Flask chatbot that scrapes DIAN, MinCIT & CCB pages, chunks and embeds text into ChromaDB, then filters by similarity to deliver structured financial, tax, and growth recommendations.

AI-powered customer support automation with LangChain & LangGraph. Multi-agent system for intelligent complaint processing, priority assignment, and automated responses. Built with FastAPI, React & SQLite.

OpenGem 💎 - a minimalistic, all-local, fully containerized, open-source AI agent.

GRAPHRAG with Langchain

Full-stack RAG platform for document loading, smart chunking, embedding, indexing, hybrid retrieval, and answer generation. Features chunking/model recommendation, query enhancement, and modular debugging. Built with FastAPI, Vue 3, Milvus, and LangChain

Self-hosted web UI for AI-powered stock & crypto research — multi-agent LLM analysis, live streaming, portfolio tracker, watchlist scheduling, and outcome tracking.

LangChain SQL Chatbot lets users query SQLite, PostgreSQL & MySQL with natural language using Streamlit, LangChain & Groq Llama3.

Self-hosted Open source AI platform with RAG, TTS, fully offline

Distributed, cloud-native fraud detection: Kafka Streams + XGBoost + LangChain Agents + ChromaDB RAG + River Online Learning, a self-improving pipeline, deployable on Docker Compose or GKE

An agentic AI system for conversational data analysis. Upload any CSV, query your data in natural language, and receive instant insights, auto-generated visualizations, and executable Python code — powered by LangChain, OpenAI/Gemini LLMs, Streamlit, and FastAPI.

AI CFO Agent: Self-hosted financial intelligence. 24 features, $0.003/run. FastAPI + LangGraph + Next.js + Claude Haiku. Upload CSV → get KPIs, fraud detection, runway analysis.

A minimal, production-shaped ReAct agent framework built from scratch in pure Python think-act loop, typed tools, layered memory, guardrails, and an eval harness. No LangChain.

AI 기반 식재료 관리 서비스: 냉장고 재료 관리, 영수증 OCR, 레시피 추천, 장보기 목록, Google Calendar 알림 연동을 제공합니다.

面向长期陪伴与自我理解的隐私优先 AI 记忆平台，融合 RAG、人生图谱、多模型路由与 MCP 能力网关。

A terminal cockpit for AI agents. Observe, evaluate, intervene.

AI Engineering 实战学习仓库

"A Retrieval-Augmented Generation (RAG) chatbot built with LangChain, Streamlit, and FAISS, designed to answer questions accurately from custom documents (PDFs)"

Hands-on Generative AI: 15 RAG modules from document loaders to guardrails, plus Papeer — a research paper assistant with citations and claim verification. Also LangGraph workflows and LangSmith tracing.

Free open-source Tavily alternative — keyless web search + extract for AI agents, RAG, LangChain. Self-hosted Serper/Exa/Linkup-style search API, no API key.

Scaffold, run & deploy production LangChain agents — frontend and agent in one command. Built-in proxy, 3 chat UIs, zero CORS.

AI智能作业批改系统 - 基于 FastAPI + Vue 3 + LangChain 的全栈教学辅助平台，支持多大模型接入、AI自动批改、智能教学助手、文档查重等功能。

## 👨‍💻 About Me Hi! I'm **Divanshu Singh**, an aspiring **Data Scientist and AI Developer** with a strong interest in Artificial Intelligence, Data Analytics and Software Development. I enjoy building practical projects that combine data, AI and automation. Currently, I'm working on **Pixotic AI Assistant**, a Telegram-based personal AI assi

This Python project demonstrates semantic search using MongoDB and two different LLM frameworks: LangChain and LlamaIndex. The goal is to load documents from MongoDB, generate embeddings for the text data, and perform semantic searches using both LangChain and LlamaIndex frameworks.

Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No external API required for local memory. Install with pip: pip install atmem

Composable runnable expression language and streaming chain orchestrator (LangChain LCEL style)

OpenSandbox sandbox backend for LangChain Deep Agents - run agent-generated code and file operations in an isolated OpenSandbox environment.

Latent Graph Engine: non-autoregressive concept-to-knowledge-graph decoding in the SONAR space

LangGraph-powered enterprise assistant that combines RAG over your own documents, MCP tools (tickets, employee lookup, company policies, internal knowledge), Self-RAG / CRAG verification

RAG-Powered Healthcare Assistant is an AI-driven tool using Retrieval-Augmented Generation (RAG) with multilingual support (Darija, Arabic, English) to provide personalized health info. It features Prescription OCR, multilingual queries, and a Pharmacy Locator to offer tailored, accurate healthcare responses and services.

Production-ready TypeScript starter for stateful LangGraph.js agents: planning → approval → execution, MemorySaver checkpoints, human-in-the-loop, OpenAI or offline mocks. Node 20+.

Simple code generator, choose your language and generate code, unit cases and documentation. Built with LangChain and React. OpenAI key required. This is a portfolio project showpiece and will not be updated in the future.

Custom Trained LLM application with Llama, and grounding via RAG. This project uses Streamlit to create a simple UX LLM based chatbot with Llama3 & RAG grounding on Stehen Hawking's books

Deterministic runtime for agent evaluation

Transforms MCP tools into collaborative, reasoning agents using modern agent frameworks.

This travel chatbot is a cutting-edge digital assistant designed to enhance the travel experience for users. This virtual companion is equipped with the ability to converse with travelers, providing them with valuable information, recommendations, and assistance throughout their journey.

LangSmith tracing plugin for OpenClaw. Automatic observability for agent turns, tool calls, and LLM invocations.

AI Agent simplifies the implementation and use of generative AI with LangChain.

AI-powered chatbot built with Python, NLP, and Flask — automate customer support queries with intent recognition and dynamic responses.

In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini LLM

Python bindings for Cross-Language MCP Orchestrator, think of LangChain + Vercel AI kit but for MCP

Fully automated AI presentation system — pre-generates narration, fires live n8n demo workflows, and answers audience questions via voice Q&A. Zero manual input during the talk.

A collection of intelligent AI agents built using Ollama, LangChain, and local LLMs, including chatbots, voice assistants, web scrapers, document readers, and specialized tools. No API required. Fully autonomous and privacy-preserving.

Repository of AI assistant Slothy

🚀 V1-MultiAgent: 开源多Agent协作框架技术文章与教程 | 从零构建生产级Multi-Agent系统

A RAG application feeding on board games running locally. Create a database with your favorite board game rulesets and query the RAG model to get answers to your questions!

LLMRoboFund is a powerful chatbot empowered with Multi-document RAG. The chatbot is equipped with RetrievalQA and SQL Agents to ease the investment research

基于 ChatGLM 等大语言模型与 Langchain 等应用框架实现，开源、可离线部署的 RAG 与 Agent 应用项目

This project combines two functionalities: a Code Interpreter using LLM Agent Orchestration and Tool Utilization, and a ReAct LangChain Agent example.ReAct agent using LangChain, integrated with a custom tool to calculate the length of a given text. It serves as a foundational example for building more complex, tool-augmented LLM applications.

This repository contains the code for the information extraction app that uses langchain to extract a structured output from unstructured data for a particular schema.