Best AI tools for< Store Data In The Cloud >

Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform from Amazon that provides a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. With AWS, you can use as much or as little of its services as you need, and scale up or down as required with only a few minutes notice. AWS has a global network of regions and availability zones, so you can deploy your applications and data in the locations that are optimal for you.

QuickData Cloud is an innovative platform designed to simplify collaboration on online notes and text data storage. It empowers users to store, manage, and retrieve text data effortlessly through a single API endpoint, providing real-time access to information. QuickData Cloud is the simplest and fastest method to collaborate and maintain continuity in data handling, ensuring data is accessible, secure, and easy to manage. With a focus on no-code developers, it offers storage of text, comments, JSON, and databases, along with upcoming AI features for data analysis.

Hopsworks is an AI platform that offers a comprehensive solution for building, deploying, and monitoring machine learning systems. It provides features such as a Feature Store, real-time ML capabilities, and generative AI solutions. Hopsworks enables users to develop and deploy reliable AI systems, orchestrate and monitor models, and personalize machine learning models with private data. The platform supports batch and real-time ML tasks, with the flexibility to deploy on-premises or in the cloud.

Loata is an AI-powered platform that serves as a learning orchestrator for adaptive text analyses. It allows users to store their notes and documents in the cloud, which are then ingested and transformed into knowledge bases. The platform features smart AI agents powered by LLMs to provide intelligent answers based on the content. With end-to-end encryption and controlled ingestion, Loata ensures the security and privacy of user data. Users can choose from different subscription plans to access varying levels of storage and query capacity, making it suitable for individuals and professionals alike.

BuildShip is a low-code visual backend builder that allows users to create powerful APIs in minutes. It is powered by AI and offers a variety of features such as pre-built nodes, multimodal flows, and integration with popular AI models. BuildShip is suitable for a wide range of users, from beginners to experienced developers. It is also a great tool for teams who want to collaborate on backend development projects.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Claude Artifacts Store is an AI-powered platform that offers a wide range of innovative tools and games. It provides users with interactive simulations, gaming experiences, and customization options for cartoon characters. The platform also features strategic planning tools like BCG Matrix visualizations and job search artifacts. With captivating website animations and a word cloud generator, Claude Artifacts Store aims to enhance user engagement and provide a unique online experience.

Microsoft AppSource is an AI-powered platform that offers a wide range of business applications to help users find solutions that drive innovation, improve business outcomes, and enhance productivity. Users can explore various categories and industries to discover apps tailored to their specific needs, such as AI, machine learning, analytics, collaboration, finance, and more. The platform provides a curated selection of apps designed to streamline processes and boost efficiency across different business functions.

ThinkDiffusion is a cloud-based platform that offers stable diffusion services. It provides businesses and educational institutions with a reliable solution for managing and sharing information. With ThinkDiffusion, users can easily create, store, and distribute content in a secure and efficient manner. The platform is designed to streamline collaboration and enhance productivity by facilitating seamless communication and data sharing.

Enhancv is an AI-powered online resume builder that helps users create professional resumes and cover letters tailored to their job applications. The tool offers a drag-and-drop resume builder with a variety of modern templates, a resume checker that evaluates resumes for ATS-friendliness, and provides actionable suggestions. Enhancv also provides resume and CV examples written by experienced professionals, a resume tailoring feature, and a free resume checker. Users can download their resumes in PDF or TXT formats and store up to 30 documents in cloud storage.

Fork.ai is a tool that helps businesses identify technologies used in mobile apps. With Fork.ai, businesses can gain insights into their competitors' tech stacks, identify potential partners, and generate leads. Fork.ai's key features include: - Technology identification: Fork.ai can identify over 1,000 technologies used in mobile apps, including programming languages, frameworks, libraries, and SDKs. - Competitor analysis: Fork.ai provides insights into the technologies used by your competitors, allowing you to identify areas where you can gain a competitive advantage. - Lead generation: Fork.ai can help you generate leads by identifying potential customers who are using specific technologies. - Partnership discovery: Fork.ai can help you identify potential partners who are using complementary technologies.

Bonfire is a custom AI chatbot platform that offers personalized concierge experiences for users. It allows companies to build enterprise-grade chatbots trained on their unique datasets, enhancing customer interactions and user engagement rates. The platform supports over 100 languages and offers features such as personalized product recommendations, lead scoring, file attachments, and customized user journeys. Bonfire replicates human conversation through its Adaptive Learning Technology, requiring no coding for integration. The platform securely stores data in a cloud-based system and allows integration of various structured and unstructured datasets.

AppSec Assistant is an AI-powered application designed to provide automated security recommendations in Jira Cloud. It focuses on ensuring data security by enabling secure-by-design software development. The tool simplifies setup by allowing users to add their OpenAI API key and organization, encrypts and stores data using Atlassian's Storage API, and provides tailored security recommendations for each ticket to reduce manual AppSec reviews. AppSec Assistant empowers developers by keeping up with their pace and helps in easing the security review bottleneck.

Knit is an AI playground for prompt designers. It provides professional prompt editors with various models, including GPT-4-turbo/vision, Claude-3, Gemini-pro, and more. Users can store, edit, and run their prompts in Knit. It also offers project management features, allowing users to organize prompts with projects, set up projects for different use cases, and collaborate with team members. Knit supports different kinds of models, including OpenAI, Claude, Azure OpenAI, and plans to support more in the future. It allows users to control API parameters, export code instantly, and provides security features such as encryption and version control.

BuildShip is a batch processing tool for ChatGPT that allows users to process ChatGPT tasks in parallel on a spreadsheet UI with CSV/JSON import and export. It supports various OpenAI models, including GPT4, Claude 3, and Gemini. Users can start with readymade templates and customize them with their own logic and models. The data generated is stored securely on the user's own Google Cloud project, and team collaboration is supported with granular access control.

AI Assistify is an AI-powered virtual assistant application designed to streamline workflows for daily life and business. It offers a centralized platform to access various AI models, allowing users to build custom AI agents without any coding requirements. The application enhances productivity by providing humanlike chat experiences, document summarization, prompt libraries, and access to tools like stocks, weather, and news. AI Assistify is fully customizable, integrates with popular social networks, and ensures privacy and security with locally stored API keys.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

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.

Pandalyst is an AI-powered tool that helps users write SQL queries faster and more efficiently. It provides an intuitive interface and uses AI to generate high-performing SQL queries without errors, regardless of the user's skill level. Pandalyst is suitable for both SQL beginners and experienced users and can be accessed through a web browser on any device. It prioritizes data security and does not store any data in its system.

Basis Theory is a token orchestration platform that helps businesses route transactions through multiple payment service providers (PSPs) and partners, enabling seamless subscription payments while maintaining PCI compliance. The platform offers secure and transparent payment flows, allowing users to connect to any partner or platform, collect and store card data securely, and customize payment strategies for various use cases. Basis Theory empowers high-risk merchants, subscription platforms, marketplaces, fintechs, and other businesses to optimize their payment processes and enhance customer experiences.

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.

HiveChat is an AI chat application designed for small and medium teams. It supports various models such as DeepSeek, Open AI, Claude, and Gemini. The tool allows easy configuration by one administrator for the entire team to use different AI models. It supports features like email or Feishu login, LaTeX and Markdown rendering, DeepSeek mind map display, image understanding, AI agents, cloud data storage, and integration with multiple large model service providers. Users can engage in conversations by logging in, while administrators can configure AI service providers, manage users, and control account registration. The technology stack includes Next.js, Tailwindcss, Auth.js, PostgreSQL, Drizzle ORM, and Ant Design.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

ReductStore is a high-performance time series database designed for storing and managing large amounts of unstructured blob data. It offers features such as real-time querying, batching data, and HTTP(S) API for edge computing, computer vision, and IoT applications. The database ensures data integrity, implements retention policies, and provides efficient data access, making it a cost-effective solution for applications requiring unstructured data storage and access at specific time intervals.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

AilyticMinds Chatbot UI is an open-source AI chat app designed for easy deployment and improved backend compatibility. It provides a user-friendly interface for creating and hosting chatbots, with features like mobile layout optimization and support for various providers. The tool utilizes Supabase for data storage and management, offering a secure and scalable solution for chatbot development. Users can quickly set up their own instances locally or in the cloud, with detailed instructions provided for installation and configuration.

Crawlee-python is a web scraping and browser automation library that covers crawling and scraping end-to-end, helping users build reliable scrapers fast. It allows users to crawl the web for links, scrape data, and store it in machine-readable formats without worrying about technical details. With rich configuration options, users can customize almost any aspect of Crawlee to suit their project's needs.

PentestGPT provides advanced AI and integrated tools to help security teams conduct comprehensive penetration tests effortlessly. Scan, exploit, and analyze web applications, networks, and cloud environments with ease and precision, without needing expert skills. The tool utilizes Supabase for data storage and management, and Vercel for hosting the frontend. It offers a local quickstart guide for running the tool locally and a hosted quickstart guide for deploying it in the cloud. PentestGPT aims to simplify the penetration testing process for security professionals and enthusiasts alike.

The Generative AI Application Builder on AWS (GAAB) is a solution that provides a web-based management dashboard for deploying customizable Generative AI (Gen AI) use cases. Users can experiment with and compare different combinations of Large Language Model (LLM) use cases, configure and optimize their use cases, and integrate them into their applications for production. The solution is targeted at novice to experienced users who want to experiment and productionize different Gen AI use cases. It uses LangChain open-source software to configure connections to Large Language Models (LLMs) for various use cases, with the ability to deploy chat use cases that allow querying over users' enterprise data in a chatbot-style User Interface (UI) and support custom end-user implementations through an API.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

TagUI is an open-source RPA tool that allows users to automate repetitive tasks on their computer, including tasks on websites, desktop apps, and the command line. It supports multiple languages and offers features like interacting with identifiers, automating data collection, moving data between TagUI and Excel, and sending Telegram notifications. Users can create RPA robots using MS Office Plug-ins or text editors, run TagUI on the cloud, and integrate with other RPA tools. TagUI prioritizes enterprise security by running on users' computers and not storing data. It offers detailed logs, enterprise installation guides, and support for centralised reporting.

Awesome-LLMOps is a curated list of the best LLMOps tools, providing a comprehensive collection of frameworks and tools for building, deploying, and managing large language models (LLMs) and AI agents. The repository includes a wide range of tools for tasks such as building multimodal AI agents, fine-tuning models, orchestrating applications, evaluating models, and serving models for inference. It covers various aspects of the machine learning operations (MLOps) lifecycle, from training to deployment and observability. The tools listed in this repository cater to the needs of developers, data scientists, and machine learning engineers working with large language models and AI applications.

Letta is an open source framework for building stateful LLM applications. It allows users to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The framework is white box and model-agnostic, enabling users to connect to various LLM API backends. Letta provides a graphical interface, the Letta ADE, for creating, deploying, interacting, and observing with agents. Users can access Letta via REST API, Python, Typescript SDKs, and the ADE. Letta supports persistence by storing agent data in a database, with PostgreSQL recommended for data migrations. Users can install Letta using Docker or pip, with Docker defaulting to PostgreSQL and pip defaulting to SQLite. Letta also offers a CLI tool for interacting with agents. The project is open source and welcomes contributions from the community.

QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

ShortcutsBench is a project focused on collecting and analyzing workflows created in the Shortcuts app, providing a dataset of shortcut metadata, source files, and API information. It aims to study the integration of large language models with Apple devices, particularly focusing on the role of shortcuts in enhancing user experience. The project offers insights for Shortcuts users, enthusiasts, and researchers to explore, customize workflows, and study automated workflows, low-code programming, and API-based agents.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

Analyzes current trends and usage in the GPT Store.

Tells you about all the products and services Mario Perron has in store and what is it like to be a Chief AI Officer

Get 1-on-1 tutoring. Trained from official questions only (verbal, quant, data insights). Score in the 90th percentile! 🚀

中文文本填充专家

A Faster-Than-Light GPT that Can Travel in Time

A GPT specialized in curating, documenting, and updating GPTs on Github at https://github.com/prajwalsouza/GPT-Store

Expert in retail industry discussions and consumer goods insights.

Formal guide in GPT Store, includes links to mentioned GPTs

Expert in retail stores and consumer goods, with a professional tone.

I will help you to integrate the popular distributed event streaming platform Apache Kafka into your own cloud solutions.

All things Bitcoin Ordinals.

Recommends self-hosted IT solutions, tailored for professionals (from https://awesome-selfhosted.net/)

A detailed expert trained on all 5,671 pages of Apple CloudKit, offering complete coding solutions. Saving time? https://www.buymeacoffee.com/parkerrex ☕️❤️

I browse docs to answer Svelte & Supabase queries.

Pet Grooming and Boarding Services store pet owner contact information, pet health data, and service preferences.

Never lose data again. Store entire conversations for later retrieve or sharing. Do not share sensible information, data is publicly available.

Data analyst and creative aide for GPT Store apps.

Analyzes and categorizes perfume data from Excel, or lists. Upload a file with your perfume names or just the names of your perfumes and this GPT will help you organize the information.

Insights into puppy growth, height, and weight based on AKC data.

Advanced AI advisor for dropshipping with real-time data analysis and comprehensive e-commerce tools.