Best AI tools for< provide documentation support >

Documate is an open-source tool that allows you to embed AI chat dialog into your documentation site. This enables users to ask questions about your content and receive answers based on the information provided. Documate is easy to integrate with popular documentation site generators such as VitePress, Docusaurus, and Docsify, and does not require any AI or LLM knowledge. You have full control over the code, data, and content indexing, and the UI is fully customizable to meet your specific needs.

Deflekt.ai is an automated support tool that uses AI to answer customer questions on various channels such as website chat, email, Slack, and Teams. It integrates with existing helpdesk solutions and provides features like content addition, channel activation, localization, human support escape, and monitoring. Deflekt.ai aims to reduce support tickets by leveraging existing documentation and AI assistance, allowing support teams to focus on more complex issues.

ChatWP is an AI chatbot designed to provide direct answers to WordPress-related questions. It is trained on official WordPress documentation to ensure accurate responses. Additionally, DocsBot AI offers features like custom chatbots, question/answer bots, embeddable widgets, custom copywriting, reply to support tickets, internal knowledge bases, and a powerful API for integration into various products.

Norby AI is a website chatbot that provides automated customer support 24/7. It is designed to be easy to use, with no setup or coding required. Simply copy and paste a snippet of code onto your website, and Norby will be up and running. Norby can answer questions about your products or services, provide documentation, and even handle FAQs. It is a great way for startups, personal brands, and small companies to automate their customer support and provide a better experience for their customers.

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.

ExplainIt is an AI-powered chatbot that can be integrated with your documentation to provide interactive and accurate answers to users' questions. It is designed to enhance the customer experience by making documentation more accessible and engaging. With ExplainIt, you can create a ChatGPT-powered chatbot in seconds, without the need for any coding or technical expertise.

Context is an AI-powered chat tool designed to transform your product documentation into an automated 24/7 tech support bot. It allows you to import content from various sources, install bots on different platforms, and provide continuous automated tech support. Context offers features like GPT-4 enabled responses, multi-source data import, teammate collaboration, response citations, preloaded questions, and response ranking. It aims to enhance customer support efficiency and user experience by automating responses and providing real-time insights.

Archbee is a comprehensive documentation platform that leverages generative AI to provide instant answers to user queries. It enables teams to create, manage, and host documentation efficiently, facilitating collaboration and knowledge sharing. With features like AI-powered Write Assist, customizable templates, and real-time collaboration, Archbee streamlines the documentation process and enhances user experience. The platform integrates seamlessly with various tools, offering secure hosting and authentication options. Archbee caters to diverse use cases, from user guides to product documentation, and ensures accurate and scalable support through AI-driven responses.

Mintlify is a modern documentation platform that helps businesses create beautiful, engaging, and user-friendly documentation. It is designed to be easy to use and maintain, and it offers a variety of features to help businesses improve their user engagement and conversions. Mintlify is used by a variety of companies, from fast-growing startups to large enterprises.

Moly.ai is a personalized chatbot that provides instant customer support. It is trained on your specific website content and files, so it can deliver personalized responses tailored to your customer's needs. This results in exceptional customer experiences and helps you boost sales and conversions. Moly.ai is easy to use and offers a user-friendly interface, making it a great choice for businesses of all sizes.

AWS Docs GPT is an AI-powered search and chat tool designed specifically for AWS Documentation users. It utilizes advanced AI technology to enhance the search experience and provide interactive chat support for users navigating through AWS documentation. With AWS Docs GPT, users can efficiently search for information, receive AI-generated prompts, and optimize their AWS bill by up to 75% using the Antimetal feature. The tool aims to streamline the documentation browsing process and improve user productivity within the AWS ecosystem.

EntBot.ai is an AI-powered chatbot builder designed for websites, catering to enterprise applications by offering product guides and developer documentations. It provides exceptional response quality with over 95% accuracy in practice. The chatbot can reduce client wait times, achieve higher customer satisfaction, and offer 24/7 service coverage with fewer support staff. EntBot.ai empowers users to sell or assist customers, supports multilingual interactions, and integrates seamlessly with messaging apps and websites. It offers no-code integration capabilities with platforms like Discord and Slack, making it a versatile tool for businesses.

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The website displays a 404 error message indicating that the deployment cannot be found. It provides a code and an ID for reference. Users are directed to check the documentation for more information and troubleshooting assistance.

The website displays a 404 error message indicating that the deployment cannot be found. It provides a code (DEPLOYMENT_NOT_FOUND) and an ID (sin1::2vhpp-1719857711860-edebb7852146) for reference. Users are directed to check the documentation for further information and troubleshooting.

HelpLook is an AI-powered knowledge base platform that helps businesses create and manage their online help centers and knowledge bases. With HelpLook, businesses can easily create and publish documentation, FAQs, and other self-service content. HelpLook also offers a range of AI-powered features, such as AI-powered search, AI-powered chatbots, and AI-powered insights. These features help businesses to provide their customers with a more personalized and efficient self-service experience.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

A collection of LLM services you can self host via docker or modal labs to support your applications development. The goal is to provide docker containers or modal labs deployments of common patterns when using LLMs and endpoints to integrate easily with existing codebases using the openai api. It supports GPT4all's embedding api, JSONFormer api for chat completion, Cross Encoders based on sentence transformers, and provides documentation using MkDocs.

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.

Atomic Agents is a modular and extensible framework designed for creating powerful applications. It follows the principles of Atomic Design, emphasizing small and single-purpose components. Leveraging Pydantic for data validation and serialization, the framework offers a set of tools and agents that can be combined to build AI applications. It depends on the Instructor package and supports various APIs like OpenAI, Cohere, Anthropic, and Gemini. Atomic Agents is suitable for developers looking to create AI agents with a focus on modularity and flexibility.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference. It aims to offer simple, high-performance ML inference and a good developer experience. Users can provide inference APIs for ONNX models without writing additional code by placing the models in the directory structure. Each session can choose between CPU or CUDA, analyze input/output, and provide Swagger API documentation for easy testing. Ready-to-run Docker images are available, making it convenient to deploy the server.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

AIS-catcher: A multi-platform AIS Receiver

The Hume AI Python SDK allows users to integrate Hume APIs directly into their Python applications. Users can access complete documentation, quickstart guides, and example notebooks to get started. The SDK is designed to provide support for Hume's expressive communication platform built on scientific research. Users are encouraged to create an account at beta.hume.ai and stay updated on changes through Discord. The SDK may undergo breaking changes to improve tooling and ensure reliable releases in the future.

ExplainableAI.jl is a Julia package that implements interpretability methods for black-box classifiers, focusing on local explanations and attribution maps in input space. The package requires models to be differentiable with Zygote.jl. It is similar to Captum and Zennit for PyTorch and iNNvestigate for Keras models. Users can analyze and visualize explanations for model predictions, with support for different XAI methods and customization. The package aims to provide transparency and insights into model decision-making processes, making it a valuable tool for understanding and validating machine learning models.

RealtimeSTT is an easy-to-use, low-latency speech-to-text library for realtime applications. It listens to the microphone and transcribes voice into text, making it ideal for voice assistants and applications requiring fast and precise speech-to-text conversion. The library utilizes Voice Activity Detection, Realtime Transcription, and Wake Word Activation features. It supports GPU-accelerated transcription using PyTorch with CUDA support. RealtimeSTT offers various customization options for different parameters to enhance user experience and performance. The library is designed to provide a seamless experience for developers integrating speech-to-text functionality into their applications.

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

LearnHouse is an open-source platform that allows anyone to easily provide world-class educational content. It supports various content types, including dynamic pages, videos, and documents. The platform is still in early development and should not be used in production environments. However, it offers several features, such as dynamic Notion-like pages, ease of use, multi-organization support, support for uploading videos and documents, course collections, user management, quizzes, course progress tracking, and an AI-powered assistant for teachers and students. LearnHouse is built using various open-source projects, including Next.js, TailwindCSS, Radix UI, Tiptap, FastAPI, YJS, PostgreSQL, LangChain, and React.

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Warm tech support for seniors, with calming strategies, patient and helpful.

Tech expert for detailed, novice-friendly IT explanations

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Everything Developer Relations

Assists with RPG Maker MZ plugin creation and technical problem-solving.

This prompt acts as an expert in AI and a specific field, designing educational and attractive manuals for a defined audience. He specializes in integrating advanced knowledge and NLP techniques to generate high-quality content.

Kenya Saitoh's IT Knowledge GPT for Udemy

I provide answers based on up-to-date official Alpine.js documentation.

I'll help you revise your docs to align more closely with best practise.

I provide insightful code reviews with a humorous twist.

I provide Cairo coding help based on my knowledge docs.

Write SEO friendly tech articles, tutorials, docs and blog.

Writes and formats Standard Operating Procedures with diagrams.

Provides professional, technical answers on Solana documentation.

An Assistant That Helps With Quarto https://quarto.org

Guides through product feature development and spec writing

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