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.

movie-travel-SanFrancisco-Edition

Using LangGrpah and OpenAI latest models and function calling capability, we created an agent that interacts with the user over a very interesting dataset maintained by the city of San Francisco government about all the locations in the city that have been used by film and TV projects since the early 20th century. Our goal is to inform tourists and locals alike about all the interesting history associated with different landmarks and streets in the city as it relates to visual arts ad culture. We envision users asking the Agent questions about different categories of films shot in SF; Asking the agent to provide an itinerary customized to the user's geo-location and interests. As of now, we have a working prototype that offers information based on the dataset. However, the geo-location feature has not been completely implemented yet.

Investory

I am building Investory with a vision to create a one stop platform for young generation to manage their Financial assets and how well they can plan their pocket money. The students on basis of their financial status can plan that how they can use their money effectively and how they should invest their money. In Long run i will try to make it somewaht intermediate between a stock market application but again laying more emphasis on investment part. In Investory we have used Llama models for developing two features . One using llama-3.2-11b-vision-preview model for classifying image and other using llama3.2:1b model for generating rag model for chatting with Financial Document. These two features are simple preview of the application i am building . Will try to enhance it more in new feature.

WatchDog AI - Gen AI based Queryable CCTV

In today's world, security is a top priority for both individuals and organizations. Our project presents a smart surveillance solution that leverages the capabilities of artificial intelligence and the Llama 3.2 90B Vision model to revolutionize video monitoring. With a staggering market size of $54.42 billion and a CAGR of 8.5%, the demand for advanced surveillance systems is higher than ever. Our system monitors live video feeds in real time, utilizing cutting-edge AI algorithms to detect unusual activities and enhance security measures. We employ the Llama 3.2 90B Vision model through our AI/ML API, allowing us to analyze and interpret video data with remarkable precision. This integration empowers the system to effectively identify key activities, including unusual behavior, crowd density, vehicle movement, and animal presence. To make CCTV footage queryable, we utilize the Llama 3.2 3B Chat model, enabling users to search and retrieve relevant data based on specific queries. For example, users can simply ask, “Show me all detected unusual activities in the last hour,” streamlining their ability to respond to potential threats. This intuitive queryable interface not only enhances user experience but also ensures that critical information is readily accessible. Furthermore, the integration of generative AI capabilities allows our solution to learn and adapt over time, improving its accuracy and efficiency in identifying anomalies. By providing real-time notifications and an intuitive user interface, our smart surveillance solution ensures peace of mind for users, enabling them to focus on what matters most while we handle their security needs. Together, we aim to redefine the standards of safety and surveillance in a rapidly evolving landscape, making our solution an indispensable tool for modern security management.

Legaily - AI Legal Solutions and Secure Blockchain

Legaily is an innovative app built to streamline legal workflows for lawyers and judges by solving key challenges in documentation, translation, and case management. In India, where legal documents are often drafted in various regional languages, translations can be costly and time-consuming. Legaily’s Document AI feature provides accurate, AI-powered translations between English and local languages using chunking techniques, reducing reliance on expensive translators. The app also offers a Summarize Document feature, utilizing NLP to condense lengthy legal documents without missing crucial details. Lawyers can quickly assess whether to take on a case, speeding up client consultations. The Simplify Language tool converts complex legal jargon, often recorded by stenographers, into more understandable language, making legal documents accessible to all lawyers. Legaily’s Document Search feature, powered by NLP, helps lawyers find relevant case precedents by understanding user intent. It reduces the hassle of searching through countless legal archives for favorable judgments, especially for critical cases. The app's Query Page is a chatbot trained to give personalized legal advice, including potential charges, rights, and next steps in a case. Judge View leverages blockchain via Hyperledger Fabric to securely share judge-signed documents. Lawyers receive a unique hashcode to access these documents digitally, removing the need for physical court visits. With additional tools like Document Drafting Templates and the Advocate Diary to manage cases, Legaily enhances productivity and organization, providing lawyers with a comprehensive solution for modern legal practice.

PULSE-X

Pulse-X is an advanced fitness, health, and nutrition app designed to support users in achieving a balanced and healthy lifestyle. This app tracks key health metrics such as heart rate, walking steps, active time, and calories burned, giving users real-time insights into their physical activity. By integrating with smart bands, Pulse-X ensures precise tracking of fitness and health data, making it easier to monitor progress. One of the standout features of Pulse-X is its AI-powered suggestions, which provide users with customized recommendations to enhance their fitness routines and overall well-being. Additionally, the app offers a 30-day personalized diet and fitness plan, crafted to meet individual health goals. It also comes equipped with a unique object detection feature that identifies food items through pictures and provides detailed nutritional information, including calories, protein, and fat content. To further assist users, Pulse-X includes a to-do list function, helping them stay organized and committed to their fitness and health journey.

ReminisceAI

Reminisce.AI is an comprehensive, multi-modal, AI application designed to enhance the lives of individuals with Dementia, Alzheimer's, different types of Amnesia, providing personalized memory support, query resolution, and routine management. Built to run efficiently on edge devices, the app leverages Llama 3.2-1B-Instruct for offline processing and Llama 3.2-11B-Vision for vision-driven tasks, allowing it to function both online and offline depending on connectivity. This is complemented by speech-to-text, text-to-speech models for smooth, natural language, audio-based interaction. By integrating state-of-the-art SPLADE and CLIP embedding models, our app can understand both visual and textual data in a highly efficient manner, enabling responsive and context-aware interactions. The app uses a Knowledge Graph-based Retrieval-Augmented Generation (RAG) architecture, which allows it to store and retrieve detailed, personalized information, ensuring that users receive relevant and accurate responses based on their past interactions. With these powerful AI models, Reminisce.AI helps users relive cherished memories through image slideshows, offers real-time assistance with everyday queries, and provides scheduled alerts for meals, medication, and sleep routines, ultimately improving both the quality of life for individuals with dementia and peace of mind for their caregivers.