langchain

Langchain Agent utilizing OpenAI Function Calls to execute Git commands using Natural Language

LangChain agent usable tool to screen stock data

An innovative AI conversation API leveraging Google's Gemini for multimodal understanding. Combines FastAPI, Langchain, and Redis for robust, scalable, and privacy-conscious text and image-based interactions

智能体系统设计与实战：基于langchain与langgraph，Agent System Design and Practical Applications: Based on LangChain and LangGraph

一个基于多智能体协作（Multi-Agent）深度研究系统，能够将宏大的模糊课题自动拆解，通过并行联网搜索、智能体内部审查与自纠错，最终撰写生成包含严谨数据、文献来源指向及可视化图表的深度研究长文。

Production-ready Python library for multi-provider LLM orchestration

A framework for hosting and scaling AI agents.

Start building practical applications that allow you to interact with data using LangChain and LLMs.

Agentic AI PowerPoint Slide Generation using LangGraph and GPT-4o

Local-first AI research assistant: plans sub-queries, searches the web, and writes fully cited reports. LangChain + LangGraph multi-agent + FastAPI + Next.js, with email-OTP auth and per-user Postgres storage.

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

Building an AWS Solution Architect Agent with Generative AI

AI Agent is a groundbreaking AI agent built on the Solana, integrating advanced artificial intelligence with social media capabilities and decentralized trading. An evolving digital entity striving to bridge the gap between AI, social media, and crypto.

LLM Agent paired with Image Captioning and Yolov8 models plays God of War

A LLM powered YouTube Assistant, ask question about a YouTube video.

Based on the large model development framework of langchain, LangGraph is integrated to create a scalable workflow architecture. RAG。基于langchain的大模型开发框架，集成LangGraph创建一个可扩展的工作流架构，RAG：结合检索向量知识库（Milvus），增强模型的知识检索能力，支持ChatGLM & OpenAI大语言

The open-source agent firewall. Prevent AI agents from leaking data, using dangerous tools, and importing poisoned dependencies.

🧠✂️ SemanticSlicer — A smart text chunker for LLM-ready documents.

An AI-powered interactive web application built with Streamlit that predicts whether a candidate will get placed in a job (or admitted) based on academic performance and other features.

A basic application using langchain, streamlit, and large language models to build a system for Retrieval-Augmented Generation (RAG) based on documents, also includes how to use Groq and deploy your own applications.