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.

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.

Falcon Songbird

Resume building can be time-consuming and ineffective if not done correctly. Getting resumes through the ATS (Applicant Tracking System) requires a different approach, which the Falcon Song-Bird application addresses. Our application starts with an introduction to Falcon Songbird, providing an overview of its features and benefits. Next, the interactive Manual Resume Assistant helps you upload your resume and job description, create a summary, define job roles, identify keywords for technical skills, and update work history, education, and certifications. It also identifies missing skills for training purposes, writes a cover letter, and collects all materials for download. This system allows you to fine-tune a configuration file of algorithms for the next phase. The Automatic Resume Builder uses this configuration file to generate a polished resume tailored to your needs. The Course Creator develops a zero-to-hero course with 10 hands-on exercises to help you upgrade your skills. Finally, the Scoring Utility evaluates how well your resume matches the job description, providing a score, that highlights strengths and areas for improvement. From a business perspective, Falcon Songbird offers several benefits: Increased Efficiency: Automating the resume-building process saves time, allowing job seekers to focus more on their job search. Higher Success Rates: Advanced algorithms tailored to pass ATS filters increase the likelihood of your resume being seen by hiring managers. Skill Enhancement: The Course Creator identifies skill gaps and provides a structured learning path to bridge them. Customization: The Manual Resume Assistant and Automatic Resume Builder ensure unique and accurate resumes. Objective Evaluation: The Scoring Utility gives actionable insights to improve your resume. Overall, Falcon Songbird streamlines the resume-building process, increasing your chances of landing your desired job while enhancing your professional skills.

Doctor Management System

doctor's management system was an idea for the issue of online booking with doctor, many people suffer that problem and get many issues while booking an appointment but using java's swing library we have made a desktop application which will be making the facility easier for patients from rural areas to get in touch with doctor and doctors can send an apllication to the head of the health department which will be called as the admin. the data of the patient enrolled is saved in the xampp database which works on the sql query but with more simplified version. this can be easier for patients who cannot come and book an appointment manually so they can remotely keep themselves in touch with the doctors.

CodeBlast Dream Catcher

The CodeBlast Dream Catcher proposes an innovative approach to searching multidimensional space for knowledge based on the following eight principles: 1. An "all possible combinations space" exists in a multidimensional space where knowledge is discovered, not created. 2. This multidimensional space is best searched with LLMs using goals, as goals carry the recipes for accomplishing them. 3. There exists a multidimensional "all possible" Codestral goal space consisting of interconnected goals resembling a graph. 4. This multidimensional goals space can best be searched by remapping it to the 2D Infinite Canvas proposed in the LabLab.ai Build Your Business Startup Hackathon's "Navigating the Infinite Plane". 5. The infinite canvas can be created using a 50256 base number system derived from the GPT-2 tokenization labels. 6. To avoid the costly computational expense of base number conversion, hidden and unhidden states are created in the 2D infinite plane. 7. These hidden and unhidden states correspond to the conscious and unconscious mind, proposing that the human brain uses a similar mechanism to avoid the heavy cost of base number conversion. 8. Thus, searching for knowledge becomes a simple mapping problem in 2D and 1D space in both hidden and unhidden states. Business Value: The CodeBlast Dream Catcher approach offers significant business value through the following benefits: Efficient Knowledge Discovery Resource Optimization Enhanced Decision-Making Scalability Flexibility Strategic Advantage The CodeBlast Dream Catcher approach redefines knowledge discovery by leveraging LLMs and innovative mapping techniques to efficiently explore multidimensional spaces. By optimizing resources, enhancing decision-making, and offering scalability and flexibility, it provides a strategic advantage, making it a valuable tool for businesses aiming to lead in advanced AI knowledge discovery.