Langchain OpenGPTs AI technology Top Builders

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

OpenGPTs

OpenGPTs, powered by LangChain's technology stack, offers developers a versatile framework for harnessing AI capabilities. Leveraging over 60 language models, LangSmith's prompt customization, and a suite of 100+ tools, OpenGPTs provides unparalleled control and flexibility in AI model configurations.

General
Author	LangChain
Repository	GitHub - LangChain OpenGPTs
Type	Customizable AI Model Framework

Framework Overview

OpenGPTs serves as a customizable AI framework, allowing users to fine-tune language models, prompts, tools, vector databases, retrieval algorithms, and chat history databases. This level of control surpasses direct usage of OpenAI, enabling developers to interact with APIs directly and craft tailored user interfaces.

Technology Tutorials

👉 Discover more OpenGPTs Tutorials on lablab.ai

Customization

1. Language Models (LLMs): Select from over 60 LLMs integrated with LangChain. Note the varying prompts required for different models.
2. Prompt Customization: Debug and fine-tune prompts with LangSmith for enhanced accuracy.
3. Tool Integration: Access a diverse suite of 100+ tools provided by LangChain or easily create custom tools.
4. Vector Databases: Choose from 60+ vector database integrations within LangChain.
5. Retrieval Algorithms: Optimize retrieval algorithms based on project requirements.
6. Chat History Databases: Tailor chat history databases to suit specific project needs.

Agent Types (Default):

"GPT 3.5 Turbo"
"GPT 4"
"Azure OpenAI"
"Claude 2"

OpenGPTs' appeal lies in its high level of customization compared to direct usage of OpenAI. Users gain control over language model selection, seamless addition of custom tools, and direct API utilization. Furthermore, developers can craft custom UIs as needed.

Utilize OpenGPTs to harness the power of AI tailored precisely to your project requirements.

For a deeper dive into usage and configuration, refer to the OpenGPTs Documentation.

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Langchain OpenGPTs AI technology Hackathon projects

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

RevisitInk - Healing Memories

Revisit Ink is a personal therapy app that helps users to heal their memories via text, audio, images and videos. We all have memories that deserve healing! Our brains function in a way that capture every incident of our lives as memories and moments, we might hold on to some memories and attach ourselves to them in a particular way or have emotions around them, currently all therapy and meditation apps in the market focus on techniques that help users to meditate, sleep or focus on other forms of healing - but what all of them miss is the concept of how brains and humans function! We all have ideas, thoughts, feelings, emotions attached to our memories, moments, dreams, nightmares etc! We are using capabilities of LLM's to generate healing text, using Llama and Aria to generate images for user memory inputs and using Allegro to generate healing videos according to user inputs! The outcome is users getting a personalized therapy and healing their memories via our app! This idea is clinically tested among psychologists and psychiatrists around the world and with their feedbacks, we have been developing more about it!

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.

Learning Assistant - Laitent

Learning Assistant named Laitent is built using AI ML Capabilities along with O1 Model's reasoning capabilities. We have used OpenAI's O1 Model, API Keys provided to us and it's reasoning capabilities to better help users learn things at different levels of difficulty and different stages of lives! This means we have simplified the prompt inputs with providing drop-down that tells users whether they want an explanation suitable to kids aged between 5-12 years or they want it for teenagers or they need answers/replies for adults with minimal knowledge, this subset categorization further helps user to reduce the needs for prompt engineering and get better responses from O1 Model which has reasoning capabilities according to the option chosen from drop-down menu and this helps the user to learn things easily - be it simple daily tasks to complex tasks or coding concepts!

FlagShip Precsion Care

Through this exercise, we gained key insights into how propagating systems can improve patient care management, particularly with the FlagShip framework. FlagShip applies the principles of Uniqueness and Many Eyes to propagate 30 agents through time, enabling us to observe treatment outcomes. With MindsDB assigning precision care and Strawberry projecting outcomes, we can evaluate treatment effectiveness with high accuracy. The Principle of Uniqueness suggests that spatial points can be arranged in any configuration as long as each remains unique. Using this, we reduced our problem to a 90-vertex hypercube. MindsDB set the initial states, while Strawberry projected them to the final state across the vertices. This allowed us to simplify complex scenarios while maintaining the agents' unique characteristics. The Principle of Many Eyes asserts that knowing one aspect of a system allows insight into the entire system, thanks to symmetries in MD-space. Unlike traditional functions, which have one input and output, MD-systems generate multiple outputs from a single input. This enabled us to predict all 30 agents' outcomes simultaneously, making the care projection more efficient. As a result, Strawberry reliably indicated treatment effectiveness. In cases where the treatment was predicted to fail due to medication intolerance, this insight helped physicians avoid ineffective therapies and explore better alternatives or focus on improving the patient’s quality of life through traditional means. Conversely, when treatments were predicted to succeed, they could be confidently applied, ensuring favorable outcomes. This approach not only improves patient care but also reduces unnecessary costs from ineffective treatments. By using FlagShip’s predictive systems, we are advancing more personalized, cost-effective, and precise healthcare strategies.

Granite Gurus Many Eyes

Granite Gurus Many Eyes is an extension of three previous Hackathons: Build Your AI Startup, Codestral, and Edge Runners. This Hackathon introduced two powerful principles: (1) Uniqueness and (2) Many Eyes, both of which were crucial in advancing the exploration of Multidimensional (MD) space. These principles were effectively demonstrated through a custom search engine built on top of IBM Granite, highlighting their transformative potential. The Principle of Uniqueness asserts that spatial points can be arranged in any configuration as long as the number of points remains constant and each point is unique. This principle underpins the 2D Infinite Plane, which aids in visualizing interactions in higher dimensions and emphasizes representing numeric values as symbols rather than numbers to reduce computational costs. The Principle of Many Eyes posits that knowing one aspect of a system allows for understanding the entire system, thanks to the symmetries in MD-space. Unlike traditional programming, where functions have a single input and output, MD-systems can yield multiple outputs from a single input by leveraging these symmetries. This was illustrated in our use of IBM Granite for pattern search, which returned multiple results due to MD-space symmetries, and then predicted the next pattern, showcasing the system's adaptability. Integrating IBM Granite with the 2D Infinite Mathematical solution creates a powerful combination that enhances search engine performance by reducing computational overhead, improving accuracy, and accelerating processing times. This approach not only offers a superior user experience but also aligns with sustainability and cost-saving goals, positioning the search engine as a leader in the AI-driven market. By optimizing resources and delivering faster, more accurate results, this project demonstrates the potential to revolutionize search technology, making it a valuable asset for businesses aiming to lead in the AI space.

Smart Travel Planner

This Streamlit app is an AI-powered travel Agent that generates personalized travel itineraries using AI71. It automates the process of researching, planning, and organizing your dream vacation, allowing you to explore exciting destinations with ease. Features Research and discover exciting travel destinations, activities, and accommodations Customize your itinerary based on the number of days you want to travel Utilize the power of GPT-4o to generate intelligent and personalized travel plans. How it Works? The AI Travel Agent has two main components: Researcher: Responsible for generating search terms based on the user's destination and travel duration, and searching the web for relevant activities and accommodations using SerpAPI. Planner: Takes the research results and user preferences to generate a personalized draft itinerary that includes suggested activity.