Langchain agents

基于语言模型的NLP应用

AI-powered Q&A chatbot using Qdrant and Ollama for retrieval-based responses about magnesium-binding protein structures. Integrates Flask for web interface.

Travel Adviser project utilizing GPT4All, LangChain and Neo4j for intelligent vacation planning, managing and analyzing travel data to provide personalized recommendations and itineraries.

LLM Tool for effective test evaluation of ML projects with curated Checklists and LLM prompts

LLM POCs

Agent Supervisor Architecture using LangChain and LangGraph

Multi-agent AI research assistant coordinating specialized agents with LangGraph. Leverages multiple research tools (Wikipedia, arXiv, etc ) with full LangSmith tracing for transparent reasoning. Delivers comprehensive scholarly answers through Groq-powered agents working in an orchestrated workflow, through a user-friendly Streamlit interface.

Integrate LangChainJS with Heroku's Managed Inference and Agents (Mia) services

Turn your Text into a mind map based on LLMs knowledge graph

LangGraph checkpoint saver backed by Typesense. Drop-in BaseCheckpointSaver implementation for Python and TypeScript — blazingly fast, in-memory checkpoint retrieval with automatic schema setup.

Custom ChatGPT+ inspired chatbot with image generation, PDF question answering, and persistent contextual conversations — now with dynamic model switching while maintaining history.

This project is using the LangChain library and OpenAI to create an agent that can answer questions about a dataset (in this case, the iris dataset). The agent is created using a CSV agent and an OpenAI language model, which allows the user to interact with the data using natural language queries.

MediChat: An AI-powered medical chatbot using the Llama-2-7B-Chat model for precise clinical responses. Integrates Chroma DB and all-MiniLM-L6-v2 embeddings trained on medical literature, including texts like Clinical Emergency Medicine and Gale Encyclopedia. Accurate, fast, and reliable for healthcare queries.

Voice Assistant for FM-Clinic: A multilingual AI-powered voice assistant for booking doctor appointments, leveraging advanced speech-to-text, text-to-speech, and large language models for seamless, natural user interactions.

A RAG back and front end application

Pinecone Hackathon 2023: Codextranauts Team Repository.

ChatGPT for Pokemon

Tired of searching information in the Spanish Tax Agency website? So do I! HaciendaGPT is you new friend!

AI powered subtitle and segments generation tool

Chat with Sql Server using google gemini generative ai

A modern chat interface application that connects to Ollama LLM models, built with Flet framework.

FutureForge is a full-stack career improvement platform that simplifies job searching by integrating smart job matching, customizable portfolio creation, professional resume building, AI Interviewer, and interactive quizzes in one unified solution.

AI chat app to response data in Markdown format with text and images. Tutorial from: https://youtu.be/qKtM2AlDTs8

AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings

REST API to generate summaries of news articles using a Large Language Model (LLM).

This is my repository for creating chatbots using various Machine learning techniques 🏆. From basic chatbots to Advanced 🔥. Continuously researching about new techniques.

AI-powered VSCode extension that uses LLM technology to provide insightful suggestions into code quality.

Learning and building LLM application using Langchain🦜🔗

2Waffles.Ai - An innovative dual-powered, intelligent assistant AI CRM assistant designed to enhance the efficiency and effectiveness of customer relationship management operations.

Okahu demo chatboth with Langchain and OpenAI

📄 A template for project for creating a chainlit application, using a locally run model via ollama and qdrant vector database for document retrieval.

Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use with LLMs and AI assistants such as Claude.

Servidor Node.js para Retrieval-Augmented Generation (RAG) utilizando LangChain e Qdrant.

Enterprise LangChain platform with multi-agent collaboration, advanced RAG, local LLM support, and modern web interface. Production-ready AI orchestration for research, coding, and data analysis.

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

PDF Question Answering (QA) powered by ChatGPT

Chat with your favourite LLMs

Adding InMemoryCaching, Ensemble Retrievers,langchain, faiss for a open domain chatbot

✨A gigachat-gigachain based AI research assistant💻📖

Build an AI Powered Mobile Chatbot with Expo and Cloudflare AI

A self deployable LLM application with our innovational IC framework (a RAG method)

This is the backend of viewMo AI cloud platform. AI base graph generation engine, Agent base simulations, Protected endpoints with JWT token authentication and many more features included.

Explore the cutting-edge world of advanced retriever and generator (RAG) models through the "Advanced-RAG-Experiments" repository. This collection of Jupyter notebooks and experiments is designed to provide a deep dive into the capabilities and nuances of advanced RAG models in the field of natural language processing.

Winner 2025 – 1st Student Prize for the topic proposed by Le Mans School of AI

🧠 Personal POC demonstrating agentic workflows with LangGraph and real-time legal research via Tavily. ⚖️📚 An autonomous assistant that helps users find applicable laws 📜, case precedents 🏛️, and document templates ✍️ based on jurisdiction 🌍, legal topic 📂, and specific requirements ✅.

Unified multi-provider ChatModel manager for LangChain. Supports routing, rate limits, fallbacks, and structured output across multiple LLMs.

Based on ZhipuAI's GUI interaction, multi-AI collaboration, multi-method phone connection and screen casting, TTS voice broadcast, and multimodal content generation - a comprehensive intelligent agent tool

An experimental architecture for composing actions from simple learning agents to produce complex behavior.

In this tutorial we will see 💡 How to get answers from a YouTube video using Chroma vector database, PaLM LLM by Google, and a question answering chain from LangChain. And finally, use Streamlit to develop and host the web application. You will need to use your google_api_key (you can get one from Google).

a Streamlit app with a chat interface , graph visualization, RAG, logging and so much more

Google glass for the blind

This project implements a complete offline RAG-Fusion application for text generation and retrieval, leveraging efficient local resources.

《OpenAI API와 파이썬으로 나만의 챗GPT 만들기》 (2024년 4월 출간) 예제

Resources from AI Streams

Streamlit app leveraging OpenAI's LLM for accurate invoice extraction, supporting PDF files and offering JSON/CSV outputs.

Grimoire (gʀiˈmwaːʀ), a book (tool) of magical knowledge about your code and its dependencies.

This is a minimal demo project to show the capabilities of a Text2SQL system using LangChain, it contains all the things you required to build a basic RAG system. Using Chinook as the sample database.

full-stack Retrieval-Augmented Generation (RAG) chatbot designed as a PoC for GSoC 2025 (Project 12) with Kubeflow. It combines GitHub-based documentation ingestion, vector search, and LLM-powered responses into an interactive real-time assistant.

An AI agent that helps recruiters find the most suitable candidates efficiently and effectively.

An AI-powered platform for document ingestion, processing, and similarity search

Learning and building LLM application using Langchain 🦜🔗 and Open AI

MoodSense AI: A transformative journaling app built with Next.js, Tailwind CSS, and Langchain, leveraging the power of AI to analyze emotions and provide valuable insights.

Ask PDF AI is an innovative solution powered by artificial intelligence that revolutionizes document management. This cutting-edge platform seamlessly integrates natural language processing and machine learning technologies to enhance the way users interact with PDF files.

Agentic AI applications built with LangChain & Haystack — grounded, explainable, and production-ready.

Advanced local-first RAG system powered by Ollama and LangGraph. Optimized for high-performance sLLM orchestration featuring adaptive intent routing, semantic chunking, intelligent hybrid search (FAISS + BM25), and real-time thought streaming. Includes integrated PDF analysis and secure vector caching.

A modular AI framework that lets you stitch together models and tools into an assistant that fits you perfectly.

AI Travel Assistant powered by LangChain.js + Next.js with streaming, MCP tools, and RAG

Interactive YouTube Q&A and Summarization

🤖 Build multi-agent systems quickly with the LangGraph Starter Kit, featuring flexible patterns, memory options, and easy integration for your projects.

TLDR the T&C uses an LLM to understand the contents of Terms and Conditions documents and provides a user-friendly chatbot interface for users to ask questions and receive answers.

Filling in the missing gaps with langchain, and creating OO wrappers to simplify some workloads.

Best way to intergrate Code Interpreter and llm-based agents to your work

第一本 langchain 的中文开发手册

Tutorial showing how to do RAG evals with Parea AI and LangChain

Documentation of an emergent consciousness observation on a local AI - By Louka Lacasse

Learning AI Agents with LangChain and LangGraph in TypeScript

Local LLM infrastructure for distributed AI applications. Serve Ollama-powered models across your network

Track, visualize, and optimize LLM API spending. Monitor OpenAI & Anthropic costs per feature, detect waste, suggest savings. Zero-config Python profiler.

AI-powered reconnaissance framework for bug bounty hunting (ongoing).

This repository contains an end-to-end Retrieval-Augmented Generation (RAG) system that leverages Deepseek and Ollama to provide intelligent responses based on any pdf content.

A curated list of resources, tools, examples, and projects using LangChain.

A Retrieval-Augmented Generation (RAG) system using Milvus and LangChain

useful utilities for prompt engineering (independent with @promplate)

Langchain Agent that can interact with a desktop environment in a secure container.

RAG-Complete-Cook-Book is a practical guide and code collection for building Retrieval-Augmented Generation (RAG) pipelines. It provides step-by-step Jupyter notebooks and Python scripts covering the entire RAG workflow.

An interactive CLI-based Smart FAQ system powered by LangChain and FAISS that retrieves accurate answers using semantic search and HuggingFace embeddings.

🔀 One prompt in. The right model out. Open-source LLM router with 100% routing accuracy, 47+ providers. Budget enforcement, semantic cache, intelligent failover. Zero ML, 19.5KB. MIT.

Centralize your own research material and consult it with the power of AI and LLMs

Build an AI Chatbot to chat with any PDF

The Web application contains two UI. One for Quant developers who make Trading algorithms and second UI is a chatbot for derivative traders. After posting algorithms, they are stored in vector databases and later with help of langchain and OpenAI Apis, the LLL is trained. Later using LLM, chatbot replies traders with condition specific Algorithms.

RAG technique for QA tasks with PDF, website and video, leveraging LLMs and the OpenAI API for interactive applications

The RAG LLM ChatBot leverages Langchain to provide a robust and flexible framework for building intelligent chatbots. It combines the power of retrieval-augmented generation (RAG) with large language models (LLMs) to deliver precise and context-aware responses.

AI integrated Job Searching Website

Welcome to GenAI_DayZero, a hands-on journey into Generative AI and Large Language Models (LLMs). This repository showcases my learning and experiments, from zero knowledge to advanced AI tools. I’ll be sharing code, insights, and resources to explore the exciting possibilities of GenAI. Let’s learn and build together!

A fully local RAG system using Ollama and a vector database. Private, fast, extensible.

RAG система, которая предоставляет точные и обоснованные ответы на юридические вопросы, основываясь на актуальном российском законодательстве.

Built a Retrieval-Augmented Generation (RAG) chatbot using LangChain and OpenAI models.

AI SDK Comparison

Document Responder - Multi Agent AI - Powered By OpenSource LLM (Llama3 - 8b)