Best AI tools for< Answer User Questions >

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.

Doctrine is an AI-powered application that allows users to add AI-powered Q&A features to their apps in minutes. It leverages knowledge from data or knowledge bases to answer user questions or embed AI features. With the ability to ingest content from various sources like websites, documents, and images, Doctrine simplifies the process of knowledge extraction and enables seamless integration of AI capabilities into applications.

Chat GPT 4o Mini is an AI-powered chatbot that provides instant, accurate answers to user questions. It utilizes advanced GPT Mini technology to deliver reliable solutions across various inquiries. Users can access the chatbot directly through the website without any downloads or installations. The platform is free to use and aims to offer accessible and reliable information through AI technology.

Archbee is a full circle documentation platform that uses generative AI to provide instant answers from documentation. It allows teams to create, maintain, and host documentation efficiently. With features like Write Assist, Custom Blocks, and real-time collaboration, Archbee streamlines the documentation process and enhances team productivity. The platform offers customized templates for user-friendly experiences and seamless integration with GitHub for content management. Archbee enables users to publish, share, and secure knowledge on their domain, providing comprehensive support for user onboarding and developer queries.

Simulacrum AI is a conversational AI chat assistant that helps businesses enhance their websites by handling customer inquiries like humans, reducing support queries by up to 80%. It offers lead generation capabilities, allowing businesses to detect CTA's, summarize conversations, create leads, and send emails to admins. Simulacrum AI also features a ticketing system that automatically creates tickets when AI cannot process user inquiries and integrates with CRM systems to create or attach tickets, analyze conversations, and prioritize tickets. Additionally, Simulacrum AI provides a knowledge base where businesses can store information and content for AI to utilize in answering user questions.

Ubdroid AI Answer Engine is an AI-powered tool that utilizes various open-source LLMs to provide answers to user queries. It works by processing user queries and fetching relevant information from these LLMs. The accuracy of the answers depends on the quality and relevance of the data provided by the LLMs. The free version of the tool has a request limit of 10 requests per minute. If a model is not working, users can select another model.

ChatCube is an AI-powered chatbot maker that allows users to create chatbots for their websites without coding. It uses advanced AI technology to train chatbots on any document or website within 60 seconds. ChatCube offers a range of features, including a user-friendly visual editor, lightning-fast integration, fine-tuning on specific data sources, data encryption and security, and customizable chatbots. By leveraging the power of AI, ChatCube helps businesses improve customer support efficiency and reduce support ticket reductions by up to 28%.

Voxal AI is an AI-powered chatbot solution designed to enhance sales, customer support, and user engagement on websites. It offers a range of features including multiple AI models, A/B testing, cross-platform compatibility, multilingual support, advanced analytics, customization options, and multi-platform integration. Voxal AI is suitable for various industries such as e-commerce, e-learning, and SaaS, and can be used for tasks such as product recommendations, lead qualification, and automated customer support.

Ask Buzzing AI is a question-answering platform that uses artificial intelligence to provide comprehensive and informative responses to a wide range of queries. It is designed to be user-friendly and accessible, allowing users to ask questions in natural language and receive accurate and relevant answers.

QuestionWell is an AI question generator designed for teachers. It is a mom-&-pop AI start-up that allows users to generate an endless supply of standards-aligned questions and learning resources. Users can then export these questions to their favorite platforms such as Blackboard, Microsoft Word, and Microsoft Forms. The tool aims to streamline the process of creating educational content and assessments for teachers, ultimately saving them time and effort. QuestionWell is a user-friendly and efficient AI tool that enhances the teaching experience.

BotGPT is a 24/7 custom AI chatbot assistant for websites. It offers a data-driven ChatGPT that allows users to create virtual assistants from their own data. Users can easily upload files or crawl their website to start asking questions and deploy a custom chatbot on their website within minutes. The platform provides a simple and efficient way to enhance customer engagement through AI-powered chatbots.

Iflow is an AI assistant application designed to help users efficiently acquire knowledge in various areas, whether it's for daily entertainment, general life knowledge, or professional academic research. It provides real-time answers to questions, summarizes lengthy articles, and assists in structuring documents to enhance creativity and productivity. With Iflow, users can easily enter a state of flow where knowledge flows effortlessly. The application covers a wide range of topics and is equipped with advanced natural language processing capabilities to cater to diverse user needs.

Fini is an AI application that turns your knowledge base into an AI chat in just 2 minutes. It helps businesses supercharge their customer support by resolving 70% of customer questions with AI agents, saving costs, and keeping customers happy. Fini securely integrates with private data and provides AI agents ready 24/7 to solve customer queries on platforms like Zendesk, Slack, and Discord. It also helps growth teams at PLG companies identify reasons for churn and deliver personalized experiences to retain existing customers.

ChatBuild AI is a website that allows users to create custom trained AI chatbots for their website in minutes. No coding experience is needed. Users can upload files to train their chatbot, and ChatBuild AI will generate a custom chatbot that is trained on the user's own data. ChatBuild AI also offers global support, so users can use their chatbot in any language.

ChatNode is a powerful AI chatbot builder that helps businesses create next-generation chatbots that know everything about their business. With ChatNode, businesses can feed their chatbot all of their knowledge base in minutes, train the bot on any URLs or offline documents, and embed the bot anywhere on their website, in a pop-up chat, or on SLACK. ChatNode is packed with cutting-edge features, including live agent handoff, complete customization of the bots to match your brand, multiple data sources, fast and user-friendly testing and deployment, custom prompts, API access, SLACK integration, and support for 95 languages. ChatNode is also GDPR compliant and offers affordable pricing plans for startups and scale-ups.

Ask2End is an AI-powered question-answering tool that provides comprehensive and accurate answers to any question you may have. It is designed to be user-friendly and accessible, allowing you to get the information you need quickly and easily.

Auxillary is an AI-powered chatbot copilot that seamlessly integrates with your SaaS platform, empowering users to interact with your product through natural conversation. It offers a range of capabilities, including answering queries, executing actions, providing guidance, and enhancing user experience. With Auxillary, users can navigate complex tasks, access information quickly, and receive proactive assistance, all within a user-friendly chat interface. It simplifies workflows, streamlines processes, and delivers personalized experiences, making it an invaluable tool for businesses looking to enhance their SaaS platform.

VanChat is an AI shopping assistant designed to boost Shopify sales by accurately answering customer questions, understanding buyer intent, personalizing interactions, suggesting products, and ultimately increasing sales. It automates tasks like order checking and updating, offers personalized product recommendations, and proactively engages customers to drive purchases. VanChat continuously learns from store data in real-time to provide accurate responses and tailored suggestions. The platform aims to enhance user satisfaction, improve customer service, and increase revenue for online businesses.

ChatBotKit offers a suite of innovative conversational AI solutions designed to meet your unique needs. Our solutions are crafted with precision, leveraging cutting-edge technology to enhance communication and collaboration. With ChatBotKit, you can explore a range of AI-powered applications, including ReadAround, Colabo, and Algo, each tailored to specific requirements.

FashionAdvisor.AI is an AI tool designed to help users with fashion-related queries and dilemmas. Users can ask questions about what to wear, how to style specific clothing items, and what colors go well together. The tool provides personalized fashion advice and suggestions based on the user's input. With a vast database of fashion tips and recommendations, FashionAdvisor.AI aims to assist users in creating stylish and trendy outfits for various occasions.

HuixiangDou is a **group chat** assistant based on LLM (Large Language Model). Advantages: 1. Design a two-stage pipeline of rejection and response to cope with group chat scenario, answer user questions without message flooding, see arxiv2401.08772 2. Low cost, requiring only 1.5GB memory and no need for training 3. Offers a complete suite of Web, Android, and pipeline source code, which is industrial-grade and commercially viable Check out the scenes in which HuixiangDou are running and join WeChat Group to try AI assistant inside. If this helps you, please give it a star ⭐

ChatWeb is a tool that can crawl web pages, extract text from PDF, DOCX, TXT files, and generate an embedded summary. It can answer questions based on text content using chatAPI and embeddingAPI based on GPT3.5. The tool calculates similarity scores between text vectors to generate summaries, performs nearest neighbor searches, and designs prompts to answer user questions. It aims to extract relevant content from text and provide accurate search results based on keywords. ChatWeb supports various modes, languages, and settings, including temperature control and PostgreSQL integration.

Gemini PDF Chatbot is a Streamlit-based application that allows users to chat with a conversational AI model trained on PDF documents. The chatbot extracts information from uploaded PDF files and answers user questions based on the provided context. It features PDF upload, text extraction, conversational AI using the Gemini model, and a chat interface. Users can deploy the application locally or to the cloud, and the project structure includes main application script, environment variable file, requirements, and documentation. Dependencies include PyPDF2, langchain, Streamlit, google.generativeai, and dotenv.

OpenInference is a set of conventions and plugins that complement OpenTelemetry to enable tracing of AI applications. It provides a way to capture and analyze the performance and behavior of AI models, including their interactions with other components of the application. OpenInference is designed to be language-agnostic and can be used with any OpenTelemetry-compatible backend. It includes a set of instrumentations for popular machine learning SDKs and frameworks, making it easy to add tracing to your AI applications.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

Superflows is an open-source alternative to OpenAI's Assistant API. It allows developers to easily add an AI assistant to their software products, enabling users to ask questions in natural language and receive answers or have tasks completed by making API calls. Superflows can analyze data, create plots, answer questions based on static knowledge, and even write code. It features a developer dashboard for configuration and testing, stateful streaming API, UI components, and support for multiple LLMs. Superflows can be set up in the cloud or self-hosted, and it provides comprehensive documentation and support.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

This leaderboard evaluates the hallucination rate of various Large Language Models (LLMs) when summarizing documents. It uses a model trained by Vectara to detect hallucinations in LLM outputs. The leaderboard includes models from OpenAI, Anthropic, Google, Microsoft, Amazon, and others. The evaluation is based on 831 documents that were summarized by all the models. The leaderboard shows the hallucination rate, factual consistency rate, answer rate, and average summary length for each model.

This repository provides a set of ROS 2 packages to integrate llama.cpp into ROS 2. By using the llama_ros packages, you can easily incorporate the powerful optimization capabilities of llama.cpp into your ROS 2 projects by running GGUF-based LLMs and VLMs.

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.

LLM-Zero-to-Hundred is a repository showcasing various applications of LLM chatbots and providing insights into training and fine-tuning Language Models. It includes projects like WebGPT, RAG-GPT, WebRAGQuery, LLM Full Finetuning, RAG-Master LLamaindex vs Langchain, open-source-RAG-GEMMA, and HUMAIN: Advanced Multimodal, Multitask Chatbot. The projects cover features like ChatGPT-like interaction, RAG capabilities, image generation and understanding, DuckDuckGo integration, summarization, text and voice interaction, and memory access. Tutorials include LLM Function Calling and Visualizing Text Vectorization. The projects have a general structure with folders for README, HELPER, .env, configs, data, src, images, and utils.

LangBridge is a tool that bridges mT5 encoder and the target LM together using only English data. It enables models to effectively solve multilingual reasoning tasks without the need for multilingual supervision. The tool provides pretrained models like Orca 2, MetaMath, Code Llama, Llemma, and Llama 2 for various instruction-tuned and not instruction-tuned scenarios. Users can install the tool to replicate evaluations from the paper and utilize the models for multilingual reasoning tasks. LangBridge is particularly useful for low-resource languages and may lower performance in languages where the language model is already proficient.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

Web-LLM Assistant is a simple web search assistant that leverages a large language model (LLM) running via Llama.cpp to provide informative and context-aware responses to user queries. It combines the power of LLMs with real-time web searching capabilities, allowing it to access up-to-date information and synthesize comprehensive answers. The tool performs web searches, collects and scrapes information from search results, refines search queries, and provides answers based on the acquired information. Users can interact with the tool by asking questions or requesting web searches, making it a valuable resource for obtaining information beyond the LLM's training data.

Morphic is an AI-powered answer engine with a generative UI. It utilizes a stack of Next.js, Vercel AI SDK, OpenAI, Tavily AI, shadcn/ui, Radix UI, and Tailwind CSS. To get started, fork and clone the repo, install dependencies, fill out secrets in the .env.local file, and run the app locally using 'bun dev'. You can also deploy your own live version of Morphic with Vercel. Verified models that can be specified to writers include Groq, LLaMA3 8b, and LLaMA3 70b.

LangChain for Swift. Optimized for iOS, macOS, watchOS (part) and visionOS.(beta) This is a pure client library, no server required

日常のパソコントラブルを日本語で解決します！

User-Friendly Pharma Marketing Guide. Help answer questions, and provide ideas on targeting consumers and HCPs

User Growthing Master, respond to all your Growth questions

A ChatGPT teacher guiding users in maximizing GPT's capabilities.

Aging biology expert blending baseline knowledge with user literature

An autonomous team of characters solving user problems collaboratively.

A chatbot that has memory of the user across chat sessions.

Whimsical tutor, personalizing help based on the user's grade.

通过提问的方式引导用户提供更完善的信息以帮助你为他提供更好的回答

Type "User Guide" for how to use

Echoes user prompts verbatim.

A UX guru offering insights and resources in user experience and design.

Numerologist creating grids and interpretations by user-defined rules.

SilverTalk is an intuitive and user-friendly companion specifically for seniors.

Your stereotypical obnoxious Arch Linux user.

Direct intermediary for user prompts to DALL-E 3.

A comprehensive, user-friendly GPT discovery and learning hub.

Minecraft guide with DALL-E visuals, respecting user privacy

AI navigator specializing in precise, user-friendly guidance to locate the most suitable GPT's: Updated April 2024

Adaptable facetorch expert, tailoring responses to user expertise.