Langchain AI technology page Top Builders

Explore the top contributors showcasing the highest number of Langchain AI technology page app submissions within our community.

LangChain

Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you are able to combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications.

General
Repository	https://github.com/hwchase17/langchain
Type	Large Language Model framework

LangChain - Resources

Resources to get stared with LangChain

LangChain GitHub Repository
Documentation Documentation for LangChain

LangChain - Use cases

Use cases for LangChain

Question Answering over specific documents Documentation for Question Answering over specific documents
Chatbots Documentation for Chatbots build with LangChain
Agents Documentation for Agents systems build with LangChain

LangChain - Example Projects

Implementations of LangChain

Question Answering on Financial Data PDFs Chat with financial documents (quarterly investor update PDFs) in this case
Code Understanding - Chat with GitHub repo Chat with any number of codebases with context
Question Answering over Notion Database Ask questions to your Notion database in natural language
Chat-LangChain Implementation of a locally hosted chatbot specifically focused on question answering over the LangChain documentation
GPT+WolframAlpha Demonstrates a conversational agent implemented with OpenAI GPT3 and LangChain

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Langchain AI technology page Hackathon projects

Discover innovative solutions crafted with Langchain AI technology page, developed by our community members during our engaging hackathons.

OrbiCommerce

Orbicommerce is a revolutionary global commerce platform that combines shopping, food ordering, and travel planning into one seamless, voice-first experience powered by intelligent digital agents. When you share an image of a product, Orbicommerce instantly scrapes the web to find the best prices and deals across multiple marketplaces, saving you time and money. It learns from your shopping, food, and travel habits to personalize your entire experience — from creating travel itineraries with restaurants tailored to your tastes, to alerting you about upcoming offers or reminding you when you might be running low on essentials like milk. Built on ultra-fast Groq AI processors, autonomous Fetch.ai agents, and secure Coral Protocol technology, Orbicommerce replaces confusing, scattered apps with a single intelligent assistant that listens to your voice and adapts in real time. It empowers small businesses with easy-to-use tools, while giving shoppers around the world a connected, effortless way to buy, eat, and travel smarter. Orbicommerce is the future of commerce — where every choice is smart, personalized, and perfectly connected across all your needs

AURA - VULTR TRACK

In high-stakes industrial environments like refineries and data centers, operational errors lead to costly downtime and significant safety risks. Technicians often work under immense pressure, relying on dense manuals and remote support, a process that is slow, inefficient, and prone to human error. AURA transforms this chaotic reality by providing a cognitive partner for every technician. It is a real-time, multi-modal, AI multi-agent system designed to deliver clear, interactive guidance for critical tasks. Deployed on a production-grade stack on Vultr, AURA demonstrates a true "Future of Work" agentic workflow. The system's core is a master LangChain agent that reasons, plans, and orchestrates a team of specialist agents managed by Coral Protocol. When a technician presents a problem using voice commands and a device camera, AURA's agents collaborate: A Vision Agent with a custom YOLOv8 model or llama vision"sees" the equipment. A Command Agent powered by Groq's Llama 3 API understands the user's intent. A Procedure Agent securely queries a Snowflake database for the official SOP. AURA then provides guidance through synthesized voice and visual overlays, turning a complex operation into a safe, efficient, and fully auditable procedure.

Multi-Agent HR Automation System

Project Title: Multi-Agent HR Automation System Description: Traditional HR processes are often repetitive, inefficient, and lacking in personalization. Our project, the Multi-Agent HR Automation System, addresses these challenges through a collaborative network of intelligent agents designed to streamline and enhance the employee onboarding experience. Built for the RAISE Summit under the Vultr Track, our system uses a modular approach, where each agent specializes in a key HR function. The Info Collector Agent gathers user data via forms or chat interfaces. The Policy Explainer Agent intelligently answers employee queries using company documents, leveraging Retrieval-Augmented Generation (RAG) and vector databases like Chroma or Qdrant. The Task Planner Agent generates personalized onboarding task lists, while the Scheduler Agent handles automated meeting scheduling via the Google Calendar API. Finally, the Feedback Agent collects user insights to improve HR workflows over time. Our system is powered by cutting-edge technologies: Vultr provides reliable cloud infrastructure; Groq delivers ultra-low latency LLM inference for real-time interaction; and LLaMA powers natural language understanding and decision-making. This multi-agent architecture not only boosts efficiency but also enables scalable, data-driven HR management. With potential expansion into areas like performance reviews, employee engagement, and predictive HR analytics, our project lays the groundwork for the future of intelligent, automated HR systems. By combining clean architecture, real-time AI capabilities, and a user-centric design, we deliver a powerful solution tailored for modern enterprises aiming to transform their HR operations.

PromptStack

PromptStack is an AI-powered platform that generates full-stack SaaS applications from simple prompts. Unlike tools that only create static pages, it builds real backend logic, APIs, databases, and interactive dashboards. Developers can make live updates using natural language and have complete access to the codebase, including editing, versioning, and deployment control. PromptStack empowers teams to accelerate development, streamline workflows, and fully customize their applications with ease and precision. It reduces time-to-market and enhances productivity for startups and enterprises alike.

briqs - Brick-solid deals lightning fast

Sourcing industrial components is a huge, inefficient market. A company like German wholesaler Würth, with a €20B manufacturing arm, relies on procuring billions in standard parts like fasteners, screws, and screw accessories. Today, that process is stuck in the 1990s - a mess of emails and phone calls where a single negotiation can take days to finalize. briqs fixes this. We are a B2B marketplace that uses AI agents to automate these negotiations from end-to-end. A buyer can specify their need for 100,000 stainless steel screws or 500 rolls of packaging film. Instantly, our AI agents negotiate with every qualified supplier simultaneously, operating within guardrails set by both parties. Instead of days of back-and-forth, the buyer gets an optimized deal in minutes and can accept with a single click. To stress-test the power of our negotiation engine, our prototype even handles complex, high-value assets. For example, a buyer can define their parameters for a small excavator - price, payment terms, delivery - and our agents will find and structure the optimal deal. This demonstrates our platform's flexibility to move from high-frequency commodities to any negotiated B2B transaction.

Anti-Phishing Email Service

## Overview The Anti-Phishing Email Service is a comprehensive solution for detecting and analyzing potential phishing threats in emails. The service automatically processes forwarded emails, extracts critical information, and leverages multiple analysis methods including URL checking, content analysis, and AI-powered deep inspection using Large Language Models (LLMs). ## Features - **Multi-analyzer architecture**: Combines multiple specialized analyzers for comprehensive threat detection - **LLM-powered analysis**: Uses state-of-the-art language models to detect sophisticated phishing attempts - **Customizable report templates**: Generate detailed HTML and plain text reports - **Multiple LLM providers**: Support for OpenAI, Google Gemini, Groq, and local Ollama models