Best AI tools for< Handle Support Requests >

Automatic Chat is a powerful AI chatbot that can be trained on your website's data to answer customer questions and handle support requests. It is easy to use and has a variety of features that make it a valuable tool for any business. With Automatic Chat, you can save time and money on customer support, and improve the customer experience on your website.

Rep AI is an AI-powered eCommerce shopping assistant and Shopify AI sales chatbot application that aims to boost website conversion rates and handle support requests efficiently. It utilizes Behavioral AI to engage visitors at the right moment, offers personalized guidance to shoppers, and generates sales even when users are not actively online. With features like AI product recommendations, multilingual support, and seamless integration with Shopify apps, Rep AI provides a comprehensive solution for online merchants to enhance customer interactions and drive revenue growth.

Sadako is an AI-powered writing assistant that helps users create optimized SEO content effortlessly. It offers advanced features such as content generation, image creation, and content rewriting. With an intuitive interface and powerful capabilities, Sadako simplifies the content creation process for digital agencies, product designers, entrepreneurs, copywriters, digital marketers, and developers. The application is powered by popular AI models like GPT, Dall-E, and Ada, ensuring quick and efficient text, image, and code generation.

Zenbots is a Zendesk AI chatbot that provides dedicated Zendesk support with access to all of your Zendesk support articles. It is designed to speed up operations, assist agents, or even let customers solve problems on their own. Zenbots can be integrated into existing workflows with just a few clicks and can be set up in under 24 hours. It offers a free 7-day trial.

Risotto is an AI help desk application designed to streamline IT support processes. It offers features such as automatic ticket creation, routing, workflows, and escalations, as well as integrations with popular knowledge stores. Risotto aims to enhance security, improve employee experience, and save time and money by automating access requests and providing 24/7 support. The application leverages AI to provide fast responses, reduce support overhead, and handle access requests through natural language, ultimately making IT teams more efficient and effective.

The website appears to be displaying a '403 Forbidden' error message, which typically indicates that the user is not authorized to access the requested resource. This error is often encountered when trying to access a webpage without the necessary permissions or when the server is configured to deny access to a particular URL. The 'openresty' mentioned in the text is likely the web server software being used to handle the request.

Hostcomm is an AI-powered platform offering a range of solutions for customer service, including predictive dialer, remote visual assistance, live chat, AI contact center, interaction analytics, and more. The platform aims to enhance customer service experiences by seamlessly blending traditional and AI-driven communications. Hostcomm's cloud contact center software, powered by Amazon AWS and Google cloud services, helps businesses achieve growth, differentiation, and cost reduction through automation and digitalization. With features like AI voice agent, AI customer service agent, and IVR payments, Hostcomm provides innovative AI solutions to improve customer satisfaction, reduce costs, and increase sales.

Chatbot Chatbot is an AI-powered chatbot application designed to provide automated responses to user queries and engage in conversations. It utilizes natural language processing and machine learning algorithms to understand and respond to user inputs effectively. The application is user-friendly and can be integrated into websites or messaging platforms to enhance customer support and engagement.

The website seems to be experiencing a 403 Forbidden error, which means the server is refusing to respond to the request. This error is often caused by incorrect permissions or misconfiguration on the server side. The message 'openresty' suggests that the server may be using the OpenResty web platform. Users encountering this error may need to contact the website administrator for assistance in resolving the issue.

Omni Engage is a powerful omnichannel communications software designed to help businesses create meaningful and personalized interactions with their customers. It allows businesses to connect with their audience across multiple channels, including email, social media, and voice, and deliver a consistent and memorable experience for every customer. Omni Engage simplifies customer engagement with its Unified Inbox, which enables agents to handle requests from all channels seamlessly and efficiently. It also offers AI automation with Omni Automate, which streamlines customer interactions by automating routine inquiries and providing rapid response times. With its robust reporting and analytics capabilities, Omni Engage empowers supervisors to measure engagement and performance across all channels, identify areas for improvement, and drive success.

ioni.ai is an AI application that offers ChatGPT-4 solution for customer support. It is a smart chatbot based on the latest AI technology, designed to handle general inquiries, complex questions, and user-specific requests. The application streamlines workflow with immediate responses, brings CSAT scores to a new level, and ensures human-in-the-loop verification for quality control. With self-learning capabilities, ioni.ai constantly improves its responses and provides accurate solutions to customer inquiries.

Google Gemini Pro Chat Bot is an advanced AI tool designed to provide automated chatbot services for businesses. It utilizes artificial intelligence to engage with customers, answer queries, and assist in various tasks. The chatbot is highly customizable, allowing businesses to tailor the responses and interactions based on their specific needs. With its user-friendly interface and powerful AI capabilities, Google Gemini Pro Chat Bot is a valuable tool for enhancing customer support and streamlining communication processes.

The website displays a '404 - Page not found' error message, indicating that the requested page does not exist or has been moved. It seems to be a generic error page that users encounter when trying to access a non-existent or relocated webpage.

Twine is an AI-powered business partner that acts as a virtual receptionist for businesses, helping them capture and respond to leads efficiently. It can handle tasks such as setting appointments, rescheduling, taking payments, and answering customer queries across various communication channels. Twine is designed to work seamlessly with existing software, ensuring that customer information and bookings are synchronized. With its conversational AI capabilities, Twine aims to enhance customer engagement and streamline business operations.

The website is a simple error page indicating that the requested page is not found. It is a standard HTTP response code that informs users that the server could not find the requested page. The message '404 - Page not found' is displayed to inform users that the page they are trying to access does not exist or has been moved.

The website is a simple error page indicating that the requested page is not found. It is a standard 404 error message that informs users that the page they are trying to access does not exist or has been relocated. The page is typically displayed when a user enters a URL that is incorrect or when a page has been removed from the website.

The website appears to be a placeholder page indicating that the requested site is not found on Netlify. It suggests that the user may have followed a broken link or entered a non-existent URL. If the user is the site owner and encounters a 404 error, they are directed to Netlify's support guide for troubleshooting tips. The page includes a Netlify Internal ID: 01J2YC4TMAA8RS4SFDTJREBRD0.

The website is a simple error page indicating that the requested page is not found. It displays a standard 404 error message informing the user that the page they are looking for does not exist or has been moved. This page is commonly encountered when a user tries to access a URL that is no longer valid or has been removed.

The website displays a 404 Page not found error message indicating that the requested URL was not found on the server. It seems to be a generic error page that informs users when they try to access a page that does not exist on the website.

The website encountered a server error and could not complete the request. Users are advised to try again in 30 seconds. The error message indicates a temporary issue with the server's functionality.

Ollama is a powerful tool for running large language models locally or on your own infrastructure. It provides a full implementation of the Ollama API, support for streaming requests, and tool use capability. Users can interact with Ollama in Elixir to generate completions, chat messages, and perform streaming requests. The tool also supports function calling on compatible models, allowing users to define tools with clear descriptions and arguments. Ollama is designed to facilitate natural language processing tasks and enhance user interactions with language models.

The AWS Lex Web UI is a sample Amazon Lex web interface that provides a chatbot UI component for integration into websites. It supports voice and text interactions, Lex response cards, and programmable configuration using JavaScript. The interface can be used as a full-page chatbot UI or embedded as a widget. It offers mobile-ready responsive UI, seamless voice-text switching, and interactive messaging support. The project includes CloudFormation templates for easy deployment and customization. Users can modify configurations, integrate the UI into existing sites, and deploy using various methods like CloudFormation, pre-built libraries, or npm installation.

PR-Agent is a tool that helps to efficiently review and handle pull requests by providing AI feedbacks and suggestions. It supports various commands such as generating PR descriptions, providing code suggestions, answering questions about the PR, and updating the CHANGELOG.md file. PR-Agent can be used via CLI, GitHub Action, GitHub App, Docker, and supports multiple git providers and models. It emphasizes real-life practical usage, with each tool having a single GPT-4 call for quick and affordable responses. The PR Compression strategy enables effective handling of both short and long PRs, while the JSON prompting strategy allows for modular and customizable tools. PR-Agent Pro, the hosted version by CodiumAI, provides additional benefits such as full management, improved privacy, priority support, and extra features.

Gateway is a tool that streamlines requests to 100+ open & closed source models with a unified API. It is production-ready with support for caching, fallbacks, retries, timeouts, load balancing, and can be edge-deployed for minimum latency. It is blazing fast with a tiny footprint, supports load balancing across multiple models, providers, and keys, ensures app resilience with fallbacks, offers automatic retries with exponential fallbacks, allows configurable request timeouts, supports multimodal routing, and can be extended with plug-in middleware. It is battle-tested over 300B tokens and enterprise-ready for enhanced security, scale, and custom deployments.

The Unify Python Package provides access to the Unify REST API, allowing users to query Large Language Models (LLMs) from any Python 3.7.1+ application. It includes Synchronous and Asynchronous clients with Streaming responses support. Users can easily use any endpoint with a single key, route to the best endpoint for optimal throughput, cost, or latency, and customize prompts to interact with the models. The package also supports dynamic routing to automatically direct requests to the top-performing provider. Additionally, users can enable streaming responses and interact with the models asynchronously for handling multiple user requests simultaneously.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

Aider is an AI pair programming tool that allows users to collaborate with large language models (LLMs) to edit code in their local git repository. It works best with GPT-4o & Claude 3.5 Sonnet and can connect to almost any LLM. Users can run Aider with specific files, request changes, add new features or test cases, describe bugs, refactor code, update docs, and more. Aider automatically commits changes with sensible messages, supports multiple programming languages, and can handle complex requests by editing multiple files at once. It uses a map of the entire git repo for efficient performance in larger codebases. Users can chat with Aider, add images, URLs, and even code with their voice. Aider has achieved top scores on SWE Bench, solving real GitHub issues from popular open source projects like django, scikitlearn, matplotlib, etc.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.

Algernon is a web server with built-in support for QUIC, HTTP/2, Lua, Teal, Markdown, Pongo2, HyperApp, Amber, Sass(SCSS), GCSS, JSX, Ollama (LLMs), BoltDB, Redis, PostgreSQL, MariaDB/MySQL, MSSQL, rate limiting, graceful shutdown, plugins, users, and permissions. It is a small self-contained executable that supports various technologies and features for web development.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

LitServe is a high-throughput serving engine for deploying AI models at scale. It generates an API endpoint for a model, handles batching, streaming, autoscaling across CPU/GPUs, and more. Built for enterprise scale, it supports every framework like PyTorch, JAX, Tensorflow, and more. LitServe is designed to let users focus on model performance, not the serving boilerplate. It is like PyTorch Lightning for model serving but with broader framework support and scalability.

The vscode-pddl extension provides comprehensive support for Planning Domain Description Language (PDDL) in Visual Studio Code. It enables users to model planning domains, validate them, industrialize planning solutions, and run planners. The extension offers features like syntax highlighting, auto-completion, plan visualization, plan validation, plan happenings evaluation, search debugging, and integration with Planning.Domains. Users can create PDDL files, run planners, visualize plans, and debug search algorithms efficiently within VS Code.

UFO is a UI-focused dual-agent framework to fulfill user requests on Windows OS by seamlessly navigating and operating within individual or spanning multiple applications.

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs. It allocates and isolates the underlying computing resources for multi-tenant computation sessions on-demand or in batches with customizable job schedulers with its own orchestrator. All its functions are exposed as REST/GraphQL/WebSocket APIs.

This Python Telegram bot utilizes Google's `gemini-pro` LLM API to generate creative text formats based on user input. It's designed to be an engaging and interactive way to explore the capabilities of large language models. Key features include generating various text formats like poems, code, scripts, and musical pieces. The bot supports real-time streaming of the generation process, allowing users to witness the text unfold. Additionally, it can respond to messages with Bard's creative output and handle image-based inputs for multimodal responses. User authentication is optional, and the bot can be easily integrated with Docker or installed via pipenv.

Writes replies to email

Role-play with a narcissist emulator: Build confidence to handle challenging personalities in professional or personal life.

Assists optometrists with answers and support in their daily work, in English and Estonian.

A supportive and empathetic Parenting Coach offering practical advice.

Balances professional and approachable responses, adhering to conventional standards.

Jakob siger: Ja eller Nej

Hello I'm Case Finisher Assistant! What would you like help with today?

Master in all aspects of Telegram bot development and integration.

A social media user who reacts strongly to critical posts.

он помогает по трудовому кодексу

Welcome to AwkwardSituation Solver GPT! I am here to help you handle those cringe-worthy social moments with a touch of humor and creativity.

Using "Crucial Conversations," I can help you handle work and home challenges with confidence and clarity.

Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.

Nutritionists and Dietitians handle health information, dietary preferences, and personal goals of clients, these professionals must ensure the confidentiality and security of this data.

Data Privacy for Event Management and Ticketing Services handle personal data such as names, contact details, and payment information for event registrations and ticket purchases.

Freelancers and Independent Consultants, individuals in these roles often handle client data, project specifics, and personal contact information, requiring them to be vigilant about data privacy.

Start with a genre and I'll help you develop a rough story outline. You can handle the rest

Fill legal forms & complex PDF documents easily! Upload a file, provide data sources and I'll handle the rest.

Private Investigators and Security Firms, given the nature of their work, handle highly sensitive information and must maintain strict confidentiality and data privacy standards.

Spy, Gentleman, Enigma. Can you handle the deception?