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.

Edit on Github

Langchain OpenGPTs AI technology Hackathon projects

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

RAG based Hospital System Chatbot

The Hospital Chatbot uses LangChain and Neo4j to provide patients with accurate answers to their queries. It improves patient experience, enhances efficiency, and enables better decision making. The chatbot operates 24/7, providing personalized responses and integrating with external APIs for current wait times. Its graph database stores complex relationships between hospital data, enabling accurate answers. With natural language processing capabilities, the chatbot understands patient queries and provides tailored responses. Additionally, it helps reduce wait times, streamlines patient flow, and enhances patient engagement. This innovative solution transforms the healthcare industry, making it an ideal solution for healthcare organizations seeking to improve their services and patient care. By leveraging AI technology, the chatbot provides instant support, reducing the workload of hospital staff and enabling them to focus on critical tasks. The chatbot's user-friendly interface and multilingual capabilities make it accessible to a diverse patient population. With its scalability and flexibility, the Hospital Chatbot can be easily integrated into existing healthcare systems, making it a valuable asset for healthcare organizations of all sizes.

Athlete Insight

Here's how it could work: Personalized Training Programs: Athletes can upload videos of their training sessions or games to the app. Twelve Labs' models would analyze these videos to provide personalized feedback and training programs tailored to each athlete's strengths, weaknesses, and goals. This could include technique improvement suggestions, strategies for game situations, and fitness training recommendations. Game Analysis: Coaches and players could use the app to analyze game footage in detail. The models could automatically detect key moments in the game, such as goals, turnovers, or important plays, and provide insights into what happened during those moments. This could help teams identify patterns, adjust strategies, and improve performance. Scouting and Recruitment: Scouts and recruiters could use the app to discover talented athletes from around the world. The models could analyze highlight reels and match footage to identify promising players based on their skills and performance metrics. This could streamline the scouting process and help teams find the perfect fit for their roster. Fan Engagement: The app could also enhance the fan experience by providing interactive features during live games. Fans could use their smartphones to capture moments from the game and receive instant analysis and commentary from Twelve Labs' models. This could make watching sports more engaging and educational for fans of all ages. Overall, "Athlete Insight" could transform the way athletes train, coaches strategize, scouts recruit, and fans engage with sports, thanks to Twelve Labs' cutting-edge technology in video understanding.

AmpuFitness

We want to help amputees get access to exercises fit specifically for them. Each disability and amputation commonly comes with different problems and AI is a wonderful tool to accommodate for them and give personalized results so they can get fit. We will be asking the user for 14 questions about their disability and their diet to get a more accurate recommendation based on a multitude of studies and articles that recommend different tips to improve their lives. They can also speak further for dietary recommendations and get personalized exercises. This can further be expanded with insurance companies investing in these tools and more deep learning.

End To End Multi Code Assistant App Using LLM

The project you've described aims to search for YouTube videos related to a specific query using the YouTube Data API. Here's a longer description: Description: The project leverages the YouTube Data API to search for videos based on a user-provided query string. This is particularly useful for individuals or applications looking to find relevant video content on YouTube programmatically. How It Works: Input Query: Users provide a query string representing the topic they're interested in finding videos about. For example, the query string could be "factorial of a number". API Key Setup: The project requires a valid Google Cloud API key with access to the YouTube Data API. This key is used to authenticate requests made to the API. API Request: The search_youtube_videos function constructs a request to the YouTube Data API's search.list method. The request includes parameters such as the query string (q), the part of the resource to include in the API response (part), the type of resource (type), and the maximum number of results to return (maxResults). API Response: The request is executed, and the API returns a response containing a list of videos matching the search criteria. Processing Response: The function parses the response to extract relevant information about each video, such as its unique video ID. Generating Video Links: For each video in the response, the function constructs a YouTube video link using the video ID and appends it to a list of video links. Output: Finally, the function returns the list of video links, which can be used by the caller to display or further process the search results.

Vectonic - Optimized App Creator And Publisher

Introducing **Vectonic** 🌐🔎✨ - the game-changer in business information retrieval! 💼💡 Are you tired of sifting through endless documents and notes to find crucial information? Look no further! Vectonic is here to revolutionize the way professionals handle data overload, saving both time and money. 🚀💸 With our cutting-edge AI-powered search engine, Vectonic takes precision and efficiency to a whole new level. No more mismatched search results or wasted hours trying to make sense of scattered data. 📈🔍 Imagine being able to easily access comprehensive insights and valuable data with just a simple query. Whether it's a formal report or a casual note, Vectonic's advanced technology ensures unparalleled accuracy and relevance, making it a must-have tool for junior executives and business professionals alike. 💥📊 By leveraging Vectonic's optimized app creation and publication features, junior executives can now effortlessly develop high-performance knowledge retrieval applications for their enterprises, streamlining operations and boosting productivity. 🌟💰 Join us on this journey to transform the way businesses organize and access information. Invest in Vectonic today and be a part of revolutionizing the world of data management! 🌍

comedian-joke-book

Comedian Joke Book is a groundbreaking platform that combines the power of AI with the creativity of humor enthusiasts worldwide. Submit your best original jokes and let our advanced natural language processing categorize them by theme, structure and style. Explore the resulting interactive joke visualization to discover new talent, uncover emerging trends, and find inspiration for your own comedy writing. Most importantly, JokeMap is dedicated to protecting the intellectual property of humor creators. Our originality scoring engine compares new submissions against our vast database, flagging potential plagiarism and giving proper attribution. With a transparent, immutable record of each joke's origin and timeline, JokeMap aims to become the trusted home for comedic talent everywhere. Whether you're an aspiring comedian, a prolific humor writer, or simply a connoisseur of clever jokes, JokeMap provides the tools and community to help you explore, create and preserve the very best in original comedy. Join us on this exciting journey as we map the frontiers of humor!