Langchain agents

Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).

🦜 🔗 Query and obtain data from Markdown documents with LangChain's RAG system

KnowMyDoc is a GPT3.5 Powered Python-based conversational AI utility that enables you to build a chatbot with your own data sources and web pages. With KnowMyDoc, you can easily create a chatbot that can answer complex questions by utilizing advanced machine learning techniques and natural language processing (NLP) algorithms.

Инициатива, посвященная безопасности агентов на базе искусственного интеллекта

ElasticSearch agent based on ElasticSearch, LangChain and ChatGPT 4

A langchain agent that retries

Open-source security gateway & static scanner for AI agents. Enforce role-based access control (RBAC), human-in-the-loop approvals, segregation of duties, and cryptographically signed, offline-verifiable audit logs.

An AI Assistant to answer user queries based on your own knowledge base!

Synapse is a powerful package that enables seamless integration and management of AI agents within Laravel applications. Inspired by Langchain and Laravel Saloon, it provides a flexible framework to create, manage, and scale AI agents using customizable memory options, dynamic prompts, and multiple integrations, including OpenAI and Claude.

Building Spotify playlists based on vibes using LangChain and GPT

Fully Configurable RAG Pipeline for Bengali Language RAG Applications. Supports both Local and Huggingface Models, Built with Langchain.

Advanced AI email assistant using Groq for responsive replies, Llama for contextual information retrieval, and RAG with LangChain for enhanced accuracy.

Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs

In this project, we used Langchain to create a ChatGPT for your PDF using Streamlit. We built an application that allows you to ask questions about a PDF document and get answers directly from an LLM (Large Language Model), like OpenAI's ChatGPT.

Use LLMs to perform automatic code reviews.

金融研报分析小助手

Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.

Using OpenAI or other LLMs via Langchain to connect that intelligence to Zapier which can access virtually every app, you might want to automate

Perspective analyzes your news or social feed and presents credible counter-narratives from reliable sources—helping you think critically, reduce bias, and see the full picture. Don’t settle for one-sided stories. Get complete, nuanced facts.

LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.

A lightweight, user-friendly LLM Agent framework focused on simplifying data retrieval application development.

Korean Sentence Embedding Model Performance Benchmark for RAG

Langchain Models for RAGs and Agents

LangChain + LiteLLM that works

Qualitative Data Analysis done by AI (or LLMs). 🖥️ Streamlit & 🔗 Langchain

This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google, Ollama).

基于 Langchain，快速集成GLM-4 AllTools 功能的插件

欢迎关注博客 🎉🎉🎉 ！分享开源项目、后端工程及架构、AI大模型与Agent工程架构、AI应用落地等计算机领域的原创技术文章 ：wgrape.github.io

Let's make the web fun!

A telegram bot based on large language models (GPT-3) for image tasks like creating image, captioning, editing and general conversation like chatting about images based on stable diffusion, huggingface and langchain.

Introduction to LLM App Development Workshop: PDF Q&A App using OpenAI, Langchain, and Chainlit

An Example Plugin for ChatGPT, Utilizing FastAPI, LangChain and Chroma

TakedownGPT combines a LangChain Agent with OpenAI function calling to automate the discovery of domain registrars and drafting of takedown requests for malicious / copyright infringing domains.

This repository lists some awesome public Rust projects, Videos, Blogs and Jobs.

Learn how to create an AI Agent with Django, LangGraph, and Permit.

A simple local Retrieval-Augmented Generation (RAG) chatbot that can answer to questions by acquiring information from personal PDF documents.

Knowledge chatbot using Agentic Retrieval Augmented Generation (RAG) techniques. Full-stack proof of concept built on langchain, llama-index, django, pgvector, with multiple advanced RAG techniques used.

This is a visual editor for langgraph workflow. It helps to quickly design and debug the workflow from scratch.

Examples and guides for building Gen AI applications on the watsonx platform.

InstAgent - ⚙️ Instantly transform natural language descriptions into powerful multi-agent systems 🤖 — define roles 🎭, equip them with the right tools 🧰, and generate ready-to-run code 💻 — all in one seamless flow, guided by a single instruction 🚀.

Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.

Unlock the power of LangGraph v0.5.3 with 20 bite‑sized, beginner‑friendly agent projects—from chatbots and finance bots to multi-agent orchestrations. Developed by HERE AND NOW AI, this hands‑on tutorial delivers up‑to‑date Python code, practical business value, and scalable workflows built for today and beyond.

Multi-agent会话式金融研究平台。提供专业智能体（价格分析、新闻追踪、宏观经济、深度研究），支持实时流式响应、自动生成8章节投资报告和投资组合监控。采用LangGraph、FastAPI和React技术栈开发。

The library for AI agents on Solana

Using LangChain's SQL Database Chain and Agent with various LLMs to perform Natural Language Queries (NLQ) of an Amazon RDS for PostgreSQL database.

An example SvelteKit project using sveltekit-modal, with a Python server endpoint written in langchain.

Ubiquité : Open-source Perplexity clone with multi-LLM support and KaTeX math rendering.

RAG app for patent similarity search with chatgpt llm over google patents

AI featured threat modeling and security review action

Adaptive Reasoning Engine for Efficient and Context-Aware Intelligence

🧠 A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.

Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.

Telegram bot that answers questions over your PDFs using retrieval-augmented generation (LangChain + FAISS).

Local LLM Agent with Langchain

Redistributable ChatBot APIs with ChatGPT + RAG(Agents) with metadata, Nest.js + Langchain

A user-customized bot for your slack channels using LLMs, Tools and Documents

Concepts and examples on using and training LLMs

Designed for offline use, this RAG application template offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.

Teach ChatGPT the Alda music programming language, show it some superb code, and consult with it to compose a melody.

Chatbot application built using Next.js, React, and OpenAI. This project allows users to communicate with an AI-based chatbot that provides relevant answers to users' queries. The application uses natural language processing (NLP) technology to understand users' queries and provide accurate responses.

Utilizing a LINE Bot integrated with LangChain in Python to assist with stock price inquiries.

A comprehensive collection of Generative AI projects and experiments, covering RAG, chatbots, LLM fine-tuning, and more.

A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model.

A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications

Implementation of 12 AI agents evaluation techniques

A modular and AI-powered appointment booking agent designed to streamline scheduling for businesses, starting with dental clinics. Built with LangGraph, Composio, and Bland.com, it integrates Google Calendar and Gmail to manage appointments, send confirmations, and handle voice interactions.

👨🏻‍💻 Meet Lumina – my personal AI assistant powered by hybrid RAG with Pinecone vector search and Neo4j graph traversal, Google AI, LangChain, and an MCP server with 30+ tools. Features real-time streaming, conversation branching, and a multi-agent agentic AI pipeline for intelligent, grounded responses with inline citations.

Kronos Agent OS (KAOS): self-hosted runtime for durable AI agents with memory, skills, MCP tools, automations, dashboard, and optional swarm coordination.

Multimodal Chat with Gemini API

The OS AI engineering and monitoring agent. 🦸‍♀️ Oversight and compliance copilot for trustworthy AI.

AI controller that controls your robot.

通过装饰器将函数接入OpenAI的Chat

学习基于langchaingo结合ollama实现的rag应用流程

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.

Chat to PDFs.

Improving langchain knowledge graphs using baml

A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.

Ship Agent2Agent in one line of code.

Enterprise AI Agent Orchestration Platform — Secure, Observable, Configurable. Multi-agent teams with IAM policies, n8n workflows, LangChain memory, LangSmith traces, NemoClaw security, OpenTelemetry, and 20+ LLM providers.

Layered guardrails to make agentic AI safer and more reliable.

🦜🔗 LangChain interface to LiteLLM

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.

docker setup to run the LangChain research-assistant template using langserve

Automate web research way beyond the first page of search results; curate knowledge bases to chat with.

I recently attended the Geekbang "Large Language Models Application Development Practice Camp", where I learned about the application development of Large Language Models. Below is a summary of the after-class exercises that I participated in the camp.

Interactive notes (Jupyter Notebooks) for building AI-powered applications

A batteries-included monorepo framework for building sophisticated LangGraph applications

Qurio brings multi-provider models, custom agents, reusable skills, MCP servers, HTTP tools, retrieval, long-term memory, Deep Research, and Scrapbook into one operating surface.

LangChain Agent Getting Started Guide for Next.js

This repository contains the source code for an autonomous multi-agent system built with CrewAI and LangChain. The project enables AI agents to collaborate on tasks such as researching, writing, and editing essays.

Easy to use LLM Prompt Injection Detection and Prompt Input Sanitization / Detector Python Package with support for local models, API-based safeguards, safeguard for tool calls, and LangChain guardrails.

Agent with langgraph and langchain

Convert Confluence MIME exports (.doc) to clean Markdown

Telegram bot wrapping TradingAgents — chat-driven watchlist with parallel multi-ticker analysis, cancellation, and Telegraph reports.

Efficient AI English Learning: Read & Speak via Web | 英语学习，英语单词，通过 AI 学英语朗读，对话的高效 Web 应用

AI-powered multi-agent medical assistant with a deterministic safety layer — crisis detection, refused-topic hard-stops, dosage grounding, and post-generation diagnosis verification running before and after every LLM call, backed by parallel RAG, Wikipedia, and Tavily retrieval with symptom and drug-question routing.

The Financial Research Analyst Agent is a hierarchical multi-agent system that provides comprehensive stock analysis by coordinating 11 specialized AI agents, 20+ analysis tools, a RAG knowledge pipeline, and a multi-provider data layer — all accessible through a Streamlit web app, REST API, and CLI.

Streamlit + Langchain + LlamaCPP + Mistral + Rag