Langchain agents

LangChain integration for Milvus vector database and semantic search

Python Steamlit web app that takes in a user-specified image URL and context. Then utilizing OpenAI(GPT4), LangChain and SceneXplain, the app generates a suitable caption for that image and context.

Claude Code plugin for converting n8n workflows to LangGraph TypeScript applications

All-in-one repository of Production-ready tutorials on languages and frameworks with 40+ projects. Anyone can lookup on these and follow my roadmap to become a full-stack engineer.

An AI interface to control a bimanual robot using ChatGPT and LangChain

Hands-on LangGraph tutorials: 6 agentic design patterns + Agentic RAG, with runnable notebooks and the official diagrams.

A Streamlit app for document question answering and text summarization.

LINEBot 透過 EmbedChain 來建立客服小幫手（範例）

Customizable RAG chatbot made with LangChain, ChromaDB, Streamlit using gpt-3.5-turbo, text-embedding-ada-002 also sporting database integration

EasyWorkflow is a LangChain4j extension that provides a DSL for workflow design, along with a debugger and playground for easier testing and results visualization

AI agent powered by MCP, LangGraph, LangChain, RAG, OpenAI, and PostgreSQL

A secure, iterative code generation agent using LangGraph, Docker, and human-in-the-loop validation.

Python framework for evaluating LLM tool-calling behavior with comprehensive metrics on accuracy, efficiency, and correctness

An agentic chatbot that performs philosophy research.

An AI-powered assistant to guide your journey in learning field material, job hunting, interview preparation and resume creation.

Open-source Python library for 73 API connectors — Gmail, Slack, GitHub, Stripe, OpenAI, Anthropic & more. MCP server, OpenAI function calling, Anthropic tool use. 1,519 actions, 11 live-verified. Apache 2.0.

AI Agent for Real estate recommendation system

LangChain Documentation based practice

This repository provides a LangChain-powered chatbot for customer support, enabling businesses to deliver efficient and personalized support experiences to their customers. Leverage the power of natural language processing (NLP) to handle customer inquiries, resolve issues promptly, and enhance overall customer satisfaction.

RoboComic is an AI-powered standup comedy duel app where virtual comedians battle it out with jokes, roasts, and text-to-speech performances. Users can generate comedy duels and listen to jokes.

Evaluate multimodal agents on complex, realistic visual tasks involving multi-step workflows in dynamic environments.

MIF — Memory Interchange Format. A vendor-neutral JSON schema for portable AI agent memories. Convert between mem0, CrewAI, LangChain, and more.

Intelligent cooking companion that finds recipes based on your ingredients using advanced AI. Built for Google's Gen AI Intensive Course 2025Q1, showcasing 8 AI capabilities: LangGraph agents, RAG with ChromaDB, voice commands, nutrition API integration, Google Search grounding, and more.

The only agent memory that gets better over time. Nightly consolidation, active forgetting, salience scoring. 9.01/10 on AMB benchmark. Local-first, Apache 2.0.

Managing Memory in LLMs with LangMem.

NLP server housing intent and NER models as well as an LLM agent with long term memory vector store for Ditto assistant clients.

Poet Multi-Agent with quality assurance capabilities

AMI is an AI powered by plug and play Headspaces that define its ability to interact and its responsibilities.

Using LLMs to detect bias in news articles.

LangChain integration with LINE Bot and Google Calendar link generator

Preserving entities through the integration of knowledge graphs, Llama 2, vLLM, and LangChain.

Using Pinecone, LangChain + OpenAI for Generative Q&A with Retrieval Augmented Generation (RAG).

Gemini-Powered-MultiPDF-Chatbot is a Streamlit application that leverages Google Generative AI Gemini and LangChain for conversational question-answering based on PDF documents. This chatbot allows users to ask questions related to the content of uploaded PDF files.

This is my personal portfolio showcasing detailed information about my career, projects, and skills. It also includes an AI-powered feature that enhances the user experience

Production-ready Retrieval-Augmented Generation (RAG) system for PDF question-answering. Built with LangChain LCEL, OpenAI GPT-3.5, and ChromaDB vector store. Features smart chunking, persistent storage, and source tracking. CLI included.

awesome llm paper, course and tools

Using FineTune Models for Document Q/A and Chatbots

Agentic RAG APP with FastAPI, Ollama and Vue.js UI

This is a personalized chatbot that uses context from the whatsapp chat history to behave like a specific individual

Chat with AI

🔎 Natural Language Interface for Digital Forensic Evidence

AI assistant for biophysically detailed neuronal modelling (NeuroML) and data analysis

A web app that uses LangChain and vLLM to run an interactive AI agent 🤖

Built a FastAPI backend for an AI chatbot with RAG capabilities, supporting website, PDF, and text data ingestion. Implemented FAISS-based retrieval with embeddings and integrated a Groq LLM for context-aware responses.

This project is a chatbot that lets you ask the Viam docs questions to help you in your next Robotics project.

The Code Review Assistant is a simple multi-agent system built using the Model Context Protocol (MCP) and LangChain. Its purpose is to provide automated, preliminary feedback on code snippets, including syntax checking, code explanation, and improvement suggestions. It can be integrated with MCP-compatible clients like Cursor IDE or Claude for Desk

Book Classes and Courts at Bay Club San Francisco and Gateway!

A LLM langchain-based tool for automatically creating a cover letter based on a link to a job posting and a PDF file with the CV.

A GenAI Based CSV File and using OpemAI API and Langchain we get an answer about question that we asked related to that csv file

Simple WhatsApp Business API and DialogFlow integration using Firebase functions

Customer Driven Project (TDT4290) The project is a collaboration between NTNU and KartAI. Showcasing use of AI for streamlining building case process

langgraph-mystic is a LangGraph framework based bot that currently specializes in dream interpretation and fortune-telling. While these are its primary features for now, stay tuned to see what other mystical abilities

A Q&A RAG AI assistant and web crawler

Agentic RAG Chatbot using Model Context Protocol (MCP) to answer queries from PDFs, Word, and PPT files.

AI & RAG Based Personalized Writing Assistant

Scan your LLM-powered applications for authorization gaps, leaked credentials, missing rate limits, prompt injection risks, and other security issues — before they reach production.

A fully interactive tool designed to streamline your GitHub repository prompt generation process and facilitate RAG (Retrieval-Augmented Generation) workflows

Tavily-OpenAI connector harnesses Tavily's web research capabilities and LangChain's AI toolkit to create intelligent, internet-connected agents powered by OpenAI models.

Silvercord offers sentiment analysis on courses & professors, and lets servers compete in solving LeetCode problems with a seasonal leaderboard!

This repository provides a complete solution, including a React frontend, a Python backend with advanced RAG capabilities, and a containerized infrastructure for seamless deployment.

A full-stack AI-powered application that lets users upload and chat with their PDF documents. It combines seamless PDF processing, intelligent responses, and a minimalistic design to deliver a smooth and intuitive user experience.

This repository showcases my learning journey in Applied AI, including hands-on projects, experiments, and practical implementations.

Build your own ESG chatbot

Chatbot for streamlined administrative procedures in Vietnam, powered by large language models 🤖

A Retrieval-Augmented Generation (RAG) framework utilizing Large Language Models to answer queries based on blog articles.

⚡ From Zero to Monitoring LLMs in 5 minutes ⚡

PromptlicityAI is a platform for storing and managing custom content, enabling users to retrieve knowledge-based responses via API calls. It simplifies AI integration by allowing structured content storage and retrieval without requiring expertise in Retrieval-Augmented Generation (RAG) or complex frameworks.

Code samples from the article "The Essential Guide to LangChain for Beginners"

rag-common-ai-customer

Langchain document loader for Kreuzberg

🚀Information Retrieval & Question Answering 🔥LLMs 🌐Streamlit

My first RAG question-answering app that answers questions based on files uploaded. The app has been deployed on streamlit

An integrated AI suite combining intelligent PDF analysis, automated research capabilities, and multi-agent academic paper generation, powered by both cloud and local language models to streamline research and document processing workflows.

Knowledge base construction based on langchain, knowledge graph and RAG

A playbook and Colab-based demo for helping engineering teams adopt Generative AI. Includes a working RAG pipeline using LangChain + Chroma, OpenAI GPT-4o embeddings, prompt engineering best practices, and automated LLM evaluations with Ragas.

A PM tool utilizing LangChain LLM prompting to analyze project data and return RAG status for project tasks.

Enhance GPT-3.5-Turbo output using Retrieval-Augmented Generation (RAG) with a user-friendly interface. Select between Wikipedia or integrate external documents to experience precise, context-aware responses.

AI-Powered Code Review for Move Smart Contracts

Full stack LLM application created using React and FastAPI for document chatting

Nodejs a REST API is designed to provide users with an interactive chat interface where they can ask questions and receive responses generated by an AI model. The application utilizes OpenAI embeddings and Langchain to process the user's input and generate relevant responses based on the context of the conversation.

RAG pipeline using LangChain, Gemini pro, Faiss

Llama3 in MongoDB: Conversational QA App with Langchain + Ollama + MongoDB + Streamlit.

WorkwiseAI is an AI Agent framework that pinpoints business workflow inefficiencies and streamlines processes using cutting-edge IBM Granite models.

🦜🔗 LangChain-Tutorials is an amazing GitHub repository that provides an array of friendly and interactive tutorials for LangChain enthusiasts. Scripts are coded in Python

Assistant with the help of ChatGPT!

Better version of ChatGPT created in Next.js 13

DocuVisQA(Document Visual Question Answering) is a Python project that leverages Google's Generative AI and Langchain for document processing, text splitting, and question answering. It also supports image processing with Streamlit for interactive UI.

This is a web application that uses large langauge models like openai GPT and langchain to summarize long movie scripts to short useful summary in order to get overview of a screenplay in few minutes. It uses Flask and a Machine Learning algorithms.

Intelligent Document Understanding Machine as an API Service

Tutorials for LangChain

ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.

In this project I have built a RAG pipeline to showcase how we can augment LLM knowledge with additional data.

A tutorial on how to build Summary Brief from Evaluation Report - Offline+Open Source

Optimizing a Retrieval-Augmented Generation (RAG) system on the CNN/Daily Mail dataset using LangChain, with performance benchmarking and analysis via RAGAS.

FileChat-RAG is a simple Retrieval-Augmented Generation (RAG) system that allows users to ask questions about the contents of various file formats. It extracts text from PDFs, JSON, text files(.txt, .docx, .odt, .md), and code files, then enables interactive conversations using an LLM powered by Ollama.

A simple application for blog content retrieval implemented using RAG as the core technology.

Solution for the Trustii's "Secure RAG System" Data Challenge 2024