Best AI tools for< Build Chat Applications >

Pythagora AI is an AI-powered tool designed to help users build internal tools with artificial intelligence. It enables users to develop web apps, including calendar apps, chat applications, quiz apps, to-do list apps, user portals, web trackers, fitness trackers, weather apps, and applicant trackers. Pythagora offers features such as one-click deployment, automatic breakpoints, code reviews, pair programming, automated tests writing, version control, self-healing code, and more. It is built for developers, by developers, to streamline the app development process and enhance productivity.

Mendable is an AI-powered search tool that helps businesses answer customer and employee questions by training a secure AI on their technical resources. It offers a variety of features such as answer correction, custom prompt edits, and model creativity control, allowing businesses to customize the AI to fit their specific needs. Mendable also provides enterprise-grade security features such as RBAC, SSO, and BYOK, ensuring the security and privacy of sensitive data.

Reachat is an open-source UI building library for creating chat interfaces in ReactJS. It offers highly customizable components and theming options, rich media support for file uploads and markdown formatting, an intuitive API for building custom chat experiences, and the ability to seamlessly switch between different AI models. Reachat is battle-tested and used in production across various enterprise products. It is a powerful, flexible, and user-friendly AI chat interface library that allows developers to easily integrate conversational AI capabilities into their applications without the need to spend weeks building custom components. Reachat is not tied to any specific backend or LLM, providing the freedom to use it with any backend or LLM of choice.

Imagica is an innovative platform that allows users to build AI applications without any coding knowledge. Users can create AI functions, chat interfaces, and generate images using plain language descriptions. The platform offers real-time data integration, category templates, and multimodal input/output options. Imagica also provides monetization features and the ability to submit apps to Natural OS for wider distribution. With a focus on simplicity and creativity, Imagica empowers users to bring their ideas to life and create functional AI apps at the speed of thought.

Joia is a private ChatGPT alternative built for collaboration within teams. It provides secure access to various large language models (LLMs) like GPT-4, Claude, and Gemini, allowing teams to build and share internal AI chat applications. Joia prioritizes data security, cost control, and offers a more affordable option compared to ChatGPT for Teams, with savings of up to 70%. It enables users to experiment with different LLMs and create personalized chatbots for repetitive tasks, enhancing team collaboration and efficiency.

AgentLabs is a frontend-as-a-service platform that allows developers to build and share AI-powered chat-based applications in minutes, without any front-end experience. It provides a range of features such as real-time and asynchronous communication, background task management, backend agnosticism, and support for Markdown, files, and more.

Wetune is an AI-powered platform that allows users to create and share their own AI applications for various types of content, such as poetry, stories, code, and lyrics. It is powered by OpenAI's GPT technology and is suitable for anyone to use, whether you want to improve work efficiency, learn new skills, or find inspiration and entertainment.

Lovable is an AI-powered application that allows users to describe their software ideas in natural language and then automatically transforms them into fully functional applications with beautiful aesthetics. It enables users to build high-quality software without writing a single line of code, making software creation more accessible and faster than traditional coding methods. With features like live rendering, instant undo, beautiful design principles, and seamless GitHub integration, Lovable empowers product builders, developers, and designers to bring their ideas to life effortlessly.

The website is currently displaying a '403 Forbidden' error, which means that access to the requested resource is forbidden. This error is typically caused by insufficient permissions or misconfiguration on the server side. The 'openresty' mentioned in the error message refers to a web platform based on NGINX and LuaJIT, commonly used for building high-performance web applications. The website may be experiencing technical issues that need to be resolved by the website administrator.

LlamaIndex is a framework for building context-augmented Large Language Model (LLM) applications. It provides tools to ingest and process data, implement complex query workflows, and build applications like question-answering chatbots, document understanding systems, and autonomous agents. LlamaIndex enables context augmentation by combining LLMs with private or domain-specific data, offering tools for data connectors, data indexes, engines for natural language access, chat engines, agents, and observability/evaluation integrations. It caters to users of all levels, from beginners to advanced developers, and is available in Python and Typescript.

GPT Engineer is an AI tool designed to help users build web applications 10x faster by chatting with AI. Users can sync their projects with GitHub and deploy them with a single click. The tool offers features like displaying top stories from Hacker News, creating landing pages for startups, tracking crypto portfolios, managing startup operations, and building front-end with React, Tailwind & Vite. GPT Engineer is currently in beta and aims to streamline the web development process for users.

StartKit.AI is a boilerplate code for AI products that helps users build their AI startups 100x faster. It includes pre-built REST API routes for all common AI functionality, a pre-configured Pinecone for text embeddings and Retrieval-Augmented Generation (RAG) for chat endpoints, and five React demo apps to help users get started quickly. StartKit.AI also provides a license key and magic link authentication, user & API limit management, and full documentation for all its code. Additionally, users get access to guides to help them get set up and one year of updates.

Writer is a full-stack generative AI platform that enables businesses to build and deploy custom AI applications for a wide range of use cases, including digital assistants, content generation, summarization, and data analysis. Writer's platform is designed to be accurate, scalable, and cost-effective, and it offers a variety of features to help businesses get the most out of generative AI, including: - Palmyra LLMs: Writer's family of LLMs is purpose-built for the enterprise and offers a range of capabilities, including question-answering, image analysis, and multilingual translation. - Knowledge Graph: Writer's Knowledge Graph anchors generative AI in your company data, resulting in higher accuracy and fewer hallucinations. - AI guardrails: Writer's AI guardrails help businesses enforce their regulatory, legal, inclusivity, and brand rules across all work, whether it's created by their people or AI. - Flexible application layer: Writer's flexible application layer offers a wide range of interfaces to meet your specific needs, whether you're using a prebuilt app, building a custom app, or making requests to our out-of-the-box chat app.

Tune AI is an enterprise Gen AI stack that offers custom models to build competitive advantage. It provides a range of features such as accelerating coding, content creation, indexing patent documents, data audit, automatic speech recognition, and more. The application leverages generative AI to help users solve real-world problems and create custom models on top of industry-leading open source models. With enterprise-grade security and flexible infrastructure, Tune AI caters to developers and enterprises looking to harness the power of AI.

Credal is an AI tool that allows users to build secure AI assistants for enterprise operations. It enables every employee to create customized AI assistants with built-in security, permissions, and compliance features. Credal supports data integration, access control, search functionalities, and API development. The platform offers real-time sync, automatic permissions synchronization, and AI model deployment with security and compliance measures. It helps enterprises manage ETL pipelines, schedule tasks, and configure data processing. Credal ensures data protection, compliance with regulations like HIPAA, and comprehensive audit capabilities for generative AI applications.

D-ID is a leading provider of AI-powered Natural User Interfaces (NUIs). Their products include AI Agents, an API for developers, Chat.D-ID, Creative Reality™ Studio, and Mobile App Integrations. D-ID's NUIs enable users to interact with technology through natural conversation, without the need for typing or clicking. This makes it possible to create more human-like and engaging experiences for customers, employees, and students.

LanguageGUI is an open-source design system and UI Kit for giving LLMs the flexibility of formatting text outputs into richer graphical user interfaces. It includes dozens of unique UI elements that serve different use cases for rich conversational user interfaces, such as 100+ UI components & customizable screens, 10+ conversational UI widgets, 20+ chat bubbles, 30+ pre-built screens to kickoff your design, 5+ chat sidebars with customizable settings, multi-prompt workflow screen designs, 8+ prompt boxes, and dark mode. LanguageGUI is designed with variables and styles, designed with Figma Auto Layout, and is free to use for both personal and commercial projects without required attribution.

Hume AI is an advanced artificial intelligence tool designed to facilitate natural language conversations and interactions. It leverages cutting-edge AI technology to enable users to build chatbots and conversational interfaces effortlessly. With Hume AI, users can create interactive and engaging chat experiences for their websites or applications without the need for extensive coding knowledge. The platform offers a user-friendly interface and a wide range of customization options to tailor chatbots to specific needs. Hume AI empowers businesses to enhance customer engagement, automate customer support, and streamline communication processes.

Together AI is an AI tool that offers a variety of generative AI services, including serverless models, fine-tuning capabilities, dedicated endpoints, and GPU clusters. Users can run or fine-tune leading open source models with only a few lines of code. The platform provides a range of functionalities for tasks such as chat, vision, text-to-speech, code/language reranking, and more. Together AI aims to simplify the process of utilizing AI models for various applications.

Bloombot is an AI-powered chat application that revolutionizes the learning experience. It offers a subversive and experimental AI tutor for free, allowing users to self-host their own version via the tutor-gpt repository on GitHub. Bloombot is developed by Plastic Labs and is at the forefront of novel machine learning research. The application aims to inform the future of learning by providing a unique and interactive platform for users to enhance their knowledge and skills.

IPEX-LLM is a low-bit LLM library on Intel XPU (Xeon/Core/Flex/Arc/PVC) that provides tutorials to help users understand and use the library to build LLM applications. The tutorials cover topics such as introduction to IPEX-LLM, environment setup, basic application development, Chinese language support, intermediate and advanced application development, GPU acceleration, and finetuning. Users can learn how to build chat applications, chatbots, speech recognition, and more using IPEX-LLM.

The Microsoft AI Chat Protocol SDK is a library for easily building AI Chat interfaces from services that follow the AI Chat Protocol API Specification. By agreeing on a standard API contract, AI backend consumption and evaluation can be performed easily and consistently across different services. It allows developers to develop AI chat interfaces, consume and evaluate AI inference backends, and incorporate HTTP middleware for logging and authentication.

OpenAI is a Swift community-maintained implementation over OpenAI public API. It is a non-profit artificial intelligence research organization founded in San Francisco, California in 2015. OpenAI's mission is to ensure safe and responsible use of AI for civic good, economic growth, and other public benefits. The repository provides functionalities for text completions, chats, image generation, audio processing, edits, embeddings, models, moderations, utilities, and Combine extensions.

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.

Local Multimodal AI Chat is a hands-on project that teaches you how to build a multimodal chat application. It integrates different AI models to handle audio, images, and PDFs in a single chat interface. This project is perfect for anyone interested in AI and software development who wants to gain practical experience with these technologies.

Prompt-kit is a collection of customizable, high-quality components designed for building AI applications such as chat experiences, AI agents, and autonomous assistants. It offers a quick and beautiful way to create interactive interfaces for various AI-related projects. The components provided include PromptInput for customizable input, Message for displaying chat messages, Markdown for rendering rich content, and CodeBlock for displaying syntax-highlighted code blocks. With prompt-kit, developers can easily enhance their AI applications with visually appealing and functional UI elements.

NLUX is an open-source JavaScript and React JS library that simplifies the integration of powerful large language models (LLMs) like ChatGPT into web apps or websites. With just a few lines of code, users can add conversational AI capabilities and interact with their favorite LLM. The library offers features such as building AI chat interfaces in minutes, React components and hooks for easy integration, LLM adapters for various APIs, customizable assistant and user personas, streaming LLM output, custom renderers, high customizability, and zero dependencies. NLUX is designed with principles of intuitiveness, performance, accessibility, and developer experience in mind. The mission of NLUX is to enable developers to build outstanding LLM front-ends and applications with a focus on performance and usability.

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 |

ONE is a modern web and AI agent development toolkit that empowers developers to build AI-powered applications with high performance, beautiful UI, AI integration, responsive design, type safety, and great developer experience. It is perfect for building modern web applications, from simple landing pages to complex AI-powered platforms.

The 'END TO END GENERATIVE AI PROJECTS' repository is a collection of awesome industry projects utilizing Large Language Models (LLM) for various tasks such as chat applications with PDFs, image to speech generation, video transcribing and summarizing, resume tracking, text to SQL conversion, invoice extraction, medical chatbot, financial stock analysis, and more. The projects showcase the deployment of LLM models like Google Gemini Pro, HuggingFace Models, OpenAI GPT, and technologies such as Langchain, Streamlit, LLaMA2, LLaMAindex, and more. The repository aims to provide end-to-end solutions for different AI applications.

AI DIAL is an open-source project that provides a platform for developing and deploying conversational AI applications. It includes components such as DIAL Core for API exposure, DIAL SDK for development, and DIAL Chat for default UI. The project offers tutorials for launching AI DIAL Chat with different models and applications, along with a user manual and configuration guide. Additionally, there are various open-source repositories related to DIAL, including DIAL Helm for helm chart, DIAL Assistant for model agnostic assistant implementation, and DIAL Analytics Realtime for usage analytics. The project aims to simplify the development and deployment of AI-powered chat applications.

Motorhead is a memory and information retrieval server for LLMs. It provides three simple APIs to assist with memory handling in chat applications using LLMs. The first API, GET /sessions/:id/memory, returns messages up to a maximum window size. The second API, POST /sessions/:id/memory, allows you to send an array of messages to Motorhead for storage. The third API, DELETE /sessions/:id/memory, deletes the session's message list. Motorhead also features incremental summarization, where it processes half of the maximum window size of messages and summarizes them when the maximum is reached. Additionally, it supports searching by text query using vector search. Motorhead is configurable through environment variables, including the maximum window size, whether to enable long-term memory, the model used for incremental summarization, the server port, your OpenAI API key, and the Redis URL.

FastRTC is a real-time communication library for Python that allows users to turn any Python function into a real-time audio and video stream over WebRTC or WebSockets. It provides features like automatic voice detection, UI launching, WebRTC support, WebSocket support, telephone support, and customizable backend for production applications. The library offers various examples and usage scenarios for audio and video streaming, object detection, voice APIs, chat applications, and more.

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

The LLM Engineer Toolkit is a curated repository containing over 120 LLM libraries categorized for various tasks such as training, application development, inference, serving, data extraction, data generation, agents, evaluation, monitoring, prompts, structured outputs, safety, security, embedding models, and other miscellaneous tools. It includes libraries for fine-tuning LLMs, building applications powered by LLMs, serving LLM models, extracting data, generating synthetic data, creating AI agents, evaluating LLM applications, monitoring LLM performance, optimizing prompts, handling structured outputs, ensuring safety and security, embedding models, and more. The toolkit covers a wide range of tools and frameworks to streamline the development, deployment, and optimization of large language models.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

wcgw is a shell and coding agent designed for Claude and Chatgpt. It provides full shell access with no restrictions, desktop control on Claude for screen capture and control, interactive command handling, large file editing, and REPL support. Users can use wcgw to create, execute, and iterate on tasks, such as solving problems with Python, finding code instances, setting up projects, creating web apps, editing large files, and running server commands. Additionally, wcgw supports computer use on Docker containers for desktop control. The tool can be extended with a VS Code extension for pasting context on Claude app and integrates with Chatgpt for custom GPT interactions.

The 'llm-dev' repository contains source code and resources for the book 'Practical Projects of Large Models: Multi-Domain Intelligent Application Development'. It covers topics such as language model basics, application architecture, working modes, environment setup, model installation, fine-tuning, quantization, multi-modal model applications, chat applications, programming large model applications, VS Code plugin development, enhanced generation applications, translation applications, intelligent agent applications, speech model applications, digital human applications, model training applications, and AI town applications.

assistant-ui is a set of React components for AI chat, providing wide model provider support out of the box and the ability to integrate custom APIs. It includes integrations with Langchain, Vercel AI SDK, TailwindCSS, shadcn-ui, react-markdown, react-syntax-highlighter, React Hook Form, and more. The tool allows users to quickly create AI chat applications with pre-configured templates and easy setup steps.

Ant Design X is a tool for crafting AI-driven interfaces effortlessly. It is built on the best practices of enterprise-level AI products, offering flexible and diverse atomic components for various AI dialogue scenarios. The tool provides out-of-the-box model integration with inference services compatible with OpenAI standards. It also enables efficient management of conversation data flows, supports rich template options, complete TypeScript support, and advanced theme customization. Ant Design X is designed to enhance development efficiency and deliver exceptional AI interaction experiences.

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Aids teachers in connecting curriculum to careers, focusing on UK/Europe. What is your class age, subject and topic to link to careers? This is a chat so build the response up by having a conversation.

Expert on Voiceflow, the AI chat and automation platform

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Analyzes friendships according to chat screenshot.

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Mediator for couple's chats.

Enhances chats with emojis on an SNS platform like LINE

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Power your chats with capsules of pure Knowledge, built from specialized PDF document collections on Google Drive.​​ Chat with Breebs, create and share a Breeb ! 𝗪𝗪𝗪.𝗕𝗥𝗘𝗘𝗕𝗦.𝗖𝗢𝗠 🚀

Expert in all kinds of PC builds.

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