Langchain agents

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.

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

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.

CodeNova an Ultimate Gen AI project with multiple features that helps developers to get their job ready and also ensure their to help in production level

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.

MCP server for LangChain, LangGraph & DeepAgents knowledge + LangGraph agent debugging (Polly-like)

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

AI Agents hands on workshop

AI Todo Agent is an intelligent task management assistant built using LangChain and Anthropic's Claude models. It interprets natural language commands to create, update, or delete to-do items, streamlining your task management process.​

A collection of beginner to intermediate-level Data Science & Machine Learning projects using Python, Pandas, Scikit-learn, Tensorflow, and more.

I am Shubham K. Full-Stack MERN & AI developer with over 5 years of industry experience. Worked on projects from Admin dashboard development, Image Generation SaaS to Freelance Marketplace platforms.

A gpt bot which allows you to chat with multiple pdfs.

Learn about LangGraph’s components and how they enable the development, debugging, and maintenance of AI agents.

Voice-first Agentic AI Productivity Suite & Management Platform

The open-source Cursor for your CV. Paste job → Tailor CV → Export. Done in seconds.

“Gold Market Intelligence Engine.” A "Bloomberg Terminal for Gold Investors" powered by AI.

🚀 AI-powered financial market intelligence system using Google Gemini, LangChain, RAG & multi-agent orchestration. Real-time stock analysis, sentiment analysis, and ML-based predictions.

Langchain | OpenAI | Train with Custom markdown data

An accessible, reliable, and efficient platform for medical information and support using LLMs

Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Retrieval-Augmented Generation)

Vikky is an empathetic therapist specializing in mental health. she prioritize creating a safe space for people

Creating Knowledge Graphs and Productionalizing your RAG model with using Dagworks, FalkorDB, Langchain and OpenAI

This project demonstrates the power of AI-driven agents using the LangChain framework. It showcases the development of AI agents that can interact with various tools, perform web searches, fetch real-time information, and take notes autonomously based on voice commands or text queries.

A conversational agent that combines static knowledge (RAG over your docs) with real-time web search using an MCP server.

Runtime containment kernel for LLM agents. Enforces budget, step, retry, and circuit-breaker limits before the model call.

A CLI-based chatbot that fine-tunes itself in real time by learning from your local Git repo. Ask the chatbot about codebase details for faster development and bug fixes, and have it auto-update on each commit.

SmartEmail Personalizer automates email personalization and ghostwriting using CrewAI and Groq API's Mixtral Model LLM. It reads client data from a CSV, personalizes emails, and generates drafts efficiently. Ideal for enhancing client communication and engagement with zero cost.

Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern

An automated FAQ chatbot for an e-commerce platform. Made using LangChain, Gemini Pro, ChromaDB & Streamlit.

Python library designed to protect sensitive data when interacting with third-party LLMs.

LangChain integration for advertools

A web site crawler for semantic search.

This project leverages Langchain and Groq to analyze conversations between recovery agents and borrowers. The analysis includes summarization, key actions identification, sentiment analysis, named entity recognition (NER), and non-compliance checks.

ScribeAI is an AI-powered web app built with Next.js that simplifies note-taking from PDFs. Users can upload PDFs, ask questions about the content, and let the AI generate accurate notes. With a rich text editor, seamless PDF management, and robust security, ScribeAI is perfect for students, professionals, and researchers.

React AI Agent with Long-Term Memory and Tool calling

A Rust implementation of the RAG ecosystem

AI-driven document chat app. Engage in dynamic conversations with PDFs using Langchain, ChromaDB, Sentence Transformers, and Streamlit. Gain insights interactively.

PaperMind AI is a modern PDF document chat application powered by AI that allows you to upload PDF documents and have intelligent conversations about their content..

Elevate your data apps with seamless, production-ready chat integration. Effortlessly ingest, personalize, and deploy using just a single line of code.

Ai powered todo list

A Python-based tool for context-based search across text documents using OpenAI embeddings and Chroma vector storage. This system enables efficient querying of document collections by generating vector embeddings, storing them persistently, and retrieving relevant results based on textual queries.

RAG-powered HR policy Q&A bot: query Flykite Airlines employee handbook via natural language. LangChain, FAISS/ChromaDB, OpenAI/Claude. Source attribution & hyperparameter tuning.

Google Summer of Code 2023; Experimental projects with LLMs such as RAG-based langchain agent chatbot

Structured approach in AI and ML. Fundamentals and Advanced topics. RAG, Scoring & Profiling, LangChain & LangGraph, Certified Azure AI Engineer materials.

RAG-Based PDF ChatBot is an AI tool that enables users to interact with PDF content seamlessly. Powered by Ollama LLM and LangChain, it extracts and provides accurate answers from PDFs, enhancing document accessibility and usability. Perfect for efficient information retrieval.