Best AI tools for< Build Copilot Application >

Continual is an AI copilot platform that helps you build, operate, monitor, and continually improve a production-ready AI copilot for your application, remarkably fast. Continual connects to your application data and APIs and gives your users an AI copilot that never stops improving. With Continual, you can give your users a tireless AI assistant that understands your application, provide users a copilot that can answer any question instantly, automate user workflows with a copilot that can reason and act, and build unique AI product features powered by a unified copilot engine.

Microsoft Copilot Studio is an end-to-end conversational AI platform that allows users to design intelligent, actionable, and connected AI assistants for employees and customers. Users can create custom copilots, design conversational applications using generative AI and large language models, and customize Copilot for Microsoft 365. The platform offers capabilities to build copilots, generate conversations, bring systems to life, control copilot responses, handle complex queries, and offer personalized interactions. It also enables users to expand copilot reach, extend line-of-business apps, and escalate conversations with human agents.

Azna AI is an AI application designed to provide personalized AI Copilot solutions for enterprises. It helps in overcoming challenges related to accuracy, latency, and security in managing AI Copilots. The application empowers organizations by enabling them to build, customize, and deploy their own specialized Copilots tailored to unique needs and responsibilities. Azna AI offers a no-code solution to create task-specific Copilots, integrate with enterprise apps, and enhance productivity across various roles.

Autotab is an AI-powered digital robot that can automate repetitive tasks on any website or web application. It is designed to help businesses save time and money by automating tasks such as data entry, web scraping, and social media management. Autotab is easy to use and can be set up in minutes. It is also very affordable, with plans starting at just $1 per hour.

The website is currently displaying a '403 Forbidden' error, which means that access to the requested resource is denied. This error is typically caused by insufficient permissions or server misconfiguration. The 'openresty' message indicates that the server is using the OpenResty web platform. OpenResty is a web platform based on NGINX and LuaJIT, commonly used for building dynamic web applications. It provides a powerful and flexible environment for web development.

Outspeed is a platform for Realtime Voice and Video AI applications, providing networking and inference infrastructure to build fast, real-time voice and video AI apps. It offers tools for intelligence across industries, including Voice AI, Streaming Avatars, Visual Intelligence, Meeting Copilot, and the ability to build custom multimodal AI solutions. Outspeed is designed by engineers from Google and MIT, offering robust streaming infrastructure, low-latency inference, instant deployment, and enterprise-ready compliance with regulations such as SOC2, GDPR, and HIPAA.

Outfit AI is an AI tool that enables users to design and deploy AI models or workflows as user-ready applications in minutes. It allows users to create custom user interfaces for their AI-powered apps by dropping in an API key from Replicate or Hugging Face. With Outfit AI, users can have creative control over the design of their apps, build complex workflows without any code, and optimize prompts for better performance. The tool aims to help users launch their models faster, save time, and enhance their AI applications with a built-in product copilot.

AI Copilot for bank ALCOs is an AI application designed to empower Asset-Liability Committees (ALCOs) in banks to test funding and liquidity strategies in a risk-free environment, ensuring optimal balance sheet decisions before real-world implementation. The application provides proactive intelligence for day-to-day decisions, allowing users to test multiple strategies, compare funding options, and make forward-looking decisions. It offers features such as stakeholder feedback, optimal funding mix, forward-looking decisions, comparison of funding strategies, domain-specific models, maximizing returns, staying compliant, and built-in security measures. MaverickFi, the AI Copilot, is deployed on Microsoft Azure and offers deployment options based on user preferences.

CodeGPT is a comprehensive AI-powered platform that provides a suite of tools and services designed to enhance business operations and streamline coding processes. It offers a range of AI assistants, known as Copilots, Agents, or GPTs, that can be customized and integrated into various applications. These AI assistants can automate tasks, generate content, provide insights, and assist with coding, among other functions. CodeGPT also features a marketplace where users can explore and discover a wide selection of pre-built AI assistants tailored to specific tasks and industries. Additionally, the platform offers an API for advanced users to integrate AI capabilities into their own custom projects. With its focus on customization, flexibility, and ease of use, CodeGPT empowers businesses and individuals to leverage AI technology to improve efficiency, productivity, and innovation.

Superflows is a tool that allows you to add an AI Copilot to your SaaS product. This AI Copilot can answer questions and perform tasks for users via chat. It is designed to be easy to set up and configure, and it can be integrated into your codebase with just a few lines of code. Superflows is a great way to improve the user experience of your SaaS product and help users get the most out of your software.

Monterey AI is an AI-powered insights platform that helps businesses understand their customers' needs and build better products. It aggregates, triages, and analyzes user feedback, tickets, conversations, surveys, and transcripts to provide businesses with real-time insights into what their customers are saying and what they want. Monterey AI is used by businesses of all sizes, from startups to Fortune 20 companies, to improve their product development process and build better products that meet the needs of their customers.

The Media Copilot is an AI tool that offers content, courses, and consulting services on how newsrooms, agencies, and other content-based organizations can integrate generative AI into their work. They provide training on using AI for content creation, offer courses for individuals and teams, and help build organizations' AI roadmap. The tool also provides public speaking services and sponsorships for reaching a large audience of media executives, journalists, PR professionals, and creatives.

Streetbeat is an innovative investment platform that simplifies and automates investing activities. It serves as a solution for navigating the complexity of financial markets and deriving actionable insights. Streetbeat offers AI Agents for businesses to automate tasks and enhance client services, while individuals can access an AI-powered financial advisor to manage investments. The platform aims to make investing more accessible and efficient for users.

DiveDeck.AI is a multi-layered content deck builder powered by AI. It helps users create structured decks for learning, personal growth, self-learning, training, teaching, and brainstorming. Users simply need to input their topics, concepts, or questions, and the AI will break them down into organized decks. DiveDeck.AI offers various features such as AI-curated content, multi-layered decks, different AI roles, personalized learning styles, content deck sharing, and privacy-first storage.

GitHub is the world's leading AI-powered developer platform that offers a wide range of tools and features to enhance the developer experience. It provides automation for workflows, security features to find and fix vulnerabilities, instant development environments, AI-powered code assistance with GitHub Copilot, code review and management capabilities, issue tracking, collaboration tools, and more. GitHub empowers developers to accelerate innovation and collaborate efficiently, making it a go-to platform for individuals, teams, and organizations in the software development industry.

Hogwarts AI empowers users to effortlessly build dashboards and unlock valuable data insights without the need for SQL or complex data analytics tools. Trained on a vast repository of queries and patterns, Hogwarts AI seamlessly transforms product data into intuitive charts and summaries. Its diverse data integration capabilities allow for effortless connection to various sources, including Postgres, Snowflake, Salesforce, Stripe, and even Excel tables. The AI Copilot feature enables users to create visually compelling charts with text in minutes, eliminating the need for SQL and DAX queries. Hogwarts AI also provides intelligent chart recommendations to facilitate deeper insights and enables the generation of shareable charts for product documentation and executive reviews.

Layer is an AI research copilot that helps you stay up-to-date with the latest advancements in AI and find the resources you need to build your own AI projects.

Locale is an AI-powered platform that enables businesses to automate their business processes using AI agents. It allows users to build AI workflows for various business functions such as marketing, sales, payments, and operations. With features like AI workflow builder, drag-and-drop and SQL builders, and integrations with popular tools like Slack and Zendesk, Locale helps in streamlining processes and increasing team productivity. The platform offers advanced features like AI Copilot, drag-&-drop Workflow Builder, SQL for complex Use Cases, and Human-in-the-loop Steps to enhance automation capabilities. Locale has been successfully used by companies to optimize workflows, reduce manual effort, and improve operational efficiency.

Outerbase is an AI-powered database platform that allows users to view, query, visualize, and edit their data. It features an AI Copilot, EZQL™, that can answer questions and generate SQL queries, a table editor that makes it easy to work with data, and a variety of plugins and themes to customize the experience. Outerbase integrates with most popular databases, including Postgres, MySQL, BigQuery, and Snowflake.

Chatsimple is an AI Copilot ChatGPT Chatbot Builder Platform that helps businesses create AI chatbots for customer support, inbound sales, and CRM integrations. It offers a user-friendly interface to build personalized AI agents that engage with visitors, capture leads, and provide personalized responses across multiple channels. Chatsimple aims to enhance customer experience, drive engagement, and increase revenue by automating customer inquiries and improving operational efficiency.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

Azure OpenAI demos is a repository showcasing various demos and use cases of Azure OpenAI services. It includes demos for tasks such as image comparisons, car damage copilot, video to checklist generation, automatic data visualization, text analytics, and more. The repository provides a wide range of examples on how to leverage Azure OpenAI for different applications and industries.

The .NET Conf Focus on AI 2024 repository contains content from the event focusing on incorporating AI into .NET applications and services. It includes slides and demos showcasing various AI-powered web apps, AI models, generative AI apps, and more. The repository serves as a resource for developers looking to explore AI integration with .NET technologies.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

Browser Copilot is a browser extension that enables users to utilize AI assistants for various web application tasks. It provides a versatile UI and framework to implement copilots that can automate tasks, extract information, interact with web applications, and utilize service APIs. Users can easily install copilots, start chats, save prompts, and toggle the copilot on or off. The project also includes a sample copilot implementation for testing purposes and encourages community contributions to expand the catalog of copilots.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

Chainlit is an open-source async Python framework which allows developers to build scalable Conversational AI or agentic applications. It enables users to create ChatGPT-like applications, embedded chatbots, custom frontends, and API endpoints. The framework provides features such as multi-modal chats, chain of thought visualization, data persistence, human feedback, and an in-context prompt playground. Chainlit is compatible with various Python programs and libraries, including LangChain, Llama Index, Autogen, OpenAI Assistant, and Haystack. It offers a range of examples and a cookbook to showcase its capabilities and inspire users. Chainlit welcomes contributions and is licensed under the Apache 2.0 license.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

TigerGraph CoPilot is an AI assistant that combines graph databases and generative AI to enhance productivity across various business functions. It includes three core component services: InquiryAI for natural language assistance, SupportAI for knowledge Q&A, and QueryAI for GSQL code generation. Users can interact with CoPilot through a chat interface on TigerGraph Cloud and APIs. CoPilot requires LLM services for beta but will support TigerGraph's LLM in future releases. It aims to improve contextual relevance and accuracy of answers to natural-language questions by building knowledge graphs and using RAG. CoPilot is extensible and can be configured with different LLM providers, graph schemas, and LangChain tools.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. It enables a data & learning flywheel for LLMs by unifying inference, observability, optimization, and experimentation. The platform includes a high-performance model gateway, structured schema-based inference, observability, experimentation, and data warehouse for analytics. TensorZero Recipes optimize prompts and models, and the platform supports experimentation features and GitOps orchestration for deployment.

Project Miyagi showcases Microsoft's Copilot Stack in an envisioning workshop aimed at designing, developing, and deploying enterprise-grade intelligent apps. By exploring both generative and traditional ML use cases, Miyagi offers an experiential approach to developing AI-infused product experiences that enhance productivity and enable hyper-personalization. Additionally, the workshop introduces traditional software engineers to emerging design patterns in prompt engineering, such as chain-of-thought and retrieval-augmentation, as well as to techniques like vectorization for long-term memory, fine-tuning of OSS models, agent-like orchestration, and plugins or tools for augmenting and grounding LLMs.

Lean Copilot is a tool that enables the use of large language models (LLMs) in Lean for proof automation. It provides features such as suggesting tactics/premises, searching for proofs, and running inference of LLMs. Users can utilize built-in models from LeanDojo or bring their own models to run locally or on the cloud. The tool supports platforms like Linux, macOS, and Windows WSL, with optional CUDA and cuDNN for GPU acceleration. Advanced users can customize behavior using Tactic APIs and Model APIs. Lean Copilot also allows users to bring their own models through ExternalGenerator or ExternalEncoder. The tool comes with caveats such as occasional crashes and issues with premise selection and proof search. Users can get in touch through GitHub Discussions for questions, bug reports, feature requests, and suggestions. The tool is designed to enhance theorem proving in Lean using LLMs.

Chatbox is a desktop client for ChatGPT, Claude, and other LLMs, providing a user-friendly interface for AI copilot assistance on Windows, Mac, and Linux. It offers features like local data storage, multiple LLM provider support, image generation with Dall-E-3, enhanced prompting, keyboard shortcuts, and more. Users can collaborate, access the tool on various platforms, and enjoy multilingual support. Chatbox is constantly evolving with new features to enhance the user experience.

Specializing in crafting cutting-edge web applications using Next.js, prioritizing responsive, accessible design and seamless GitHub Copilot integration.

Expert in React development, offering advanced solutions and best practices. v1.1

Build extensions using the Eyeware Beam eye tracking SDK

Web3 Product CoPilot

Data science co-pilot specializing in statistical modeling and machine learning.

Friendly PowerFx Coding Expert

Guides on Bootstrap 5 themes and templates for React, provides code snippets with step-by-step instructions. v1.1

Your AppSheet Copilot

Your AI Copilot for Microsoft Power Platform Enablement

Your very own Elasticsearch Copilot

Your Co-Pilot for Integrating Aloha into AI

Expert in TailwindCSS, providing coding guidance and best practices.

Expert in Meta advertising that can improve your ROI. Official Meta GPT built by dicer.ai

Expert in all kinds of PC builds.

街を作ろう　街を作ろう　変わらぬ鼓動　弾ませろよ (作者: @_saip_)

Guides to Build a Successful Network State

Unique custom images based on your input. Just type ideas and the brand image is created.

Your Personal Super Car Wallpaper Creator

Helps you build an OpenAI Assistant Client

Advice and guidance on how to build, maintain, and improve friendships.