Best AI tools for< Store And Manage Data >

500 supabaseUrl is a cloud-based database service that provides a fully managed, scalable, and secure way to store and manage data. It is designed to be easy to use, with a simple and intuitive interface that makes it easy to create, manage, and query databases. 500 supabaseUrl is also highly scalable, so it can handle even the most demanding workloads. And because it is fully managed, you don't have to worry about the underlying infrastructure or maintenance tasks.

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.

Metaflow is an open-source framework for building and managing real-life ML, AI, and data science projects. It makes it easy to use any Python libraries for models and business logic, deploy workflows to production with a single command, track and store variables inside the flow automatically for easy experiment tracking and debugging, and create robust workflows in plain Python. Metaflow is used by hundreds of companies, including Netflix, 23andMe, and Realtor.com.

Fillout is an AI tool that allows users to create forms, surveys, and quizzes quickly and easily. It offers a wide range of features such as drag-and-drop questions, customizable question types, advanced form creation capabilities, and secure data collection. With integrations with popular platforms like Notion, Airtable, Salesforce, and Google Sheets, Fillout provides a seamless experience for users to collect and manage data efficiently. Trusted by thousands of organizations, Fillout is known for its user-friendly interface, powerful functionalities, and excellent customer support.

Bubble is a visual programming platform that allows users to create web applications without needing to write code. It offers a wide range of features such as data management, logic creation, collaboration tools, integrations, and security measures. Users can build complex applications using Bubble's intuitive drag-and-drop interface. The platform also provides resources like an academy, ideaboard, and product design tools to support users in their app development journey.

AI Receipt Tracker is an intelligent tool designed for efficient receipt management and expense tracking. It utilizes artificial intelligence technology to automate the process of organizing and storing receipts, making it easier for users to track their expenses and manage their finances. With AI Receipt Tracker, users can easily capture, categorize, and store receipts digitally, eliminating the need for manual entry and paper clutter. The application offers a user-friendly interface and robust features to streamline the receipt management process, saving time and improving accuracy.

Waakif is an AI-powered online ordering, loyalty programs, and marketing platform designed to streamline operations, boost customer retention, and provide actionable insights for businesses. It offers features such as order management, customer feedback, AI insights, loyalty programs, online storefront, WhatsApp marketing, and more. With advanced data analytics and integrated solutions, Waakif aims to supercharge businesses and drive growth through smart campaigns and engagement strategies.

Xata is a serverless data platform for PostgreSQL that provides a range of features to make application development faster and easier. These features include schema migrations, file attachments, full-text search, branching, and generative AI. Xata is designed to be the ideal database for application development, with a focus on code simplicity and extensibility. It is also built on open source, so developers can collaborate with the community to drive innovative ideas.

JFrog ML is an AI platform designed to streamline AI development from prototype to production. It offers a unified MLOps platform to build, train, deploy, and manage AI workflows at scale. With features like Feature Store, LLMOps, and model monitoring, JFrog ML empowers AI teams to collaborate efficiently and optimize AI & ML models in production.

Keep AI is an innovative platform that enables businesses to automate data entry and receipt storage by leveraging AI technology. By sending receipts to Keep AI via email, organizations can eliminate manual data entry tasks and benefit from reliable automation, human-assisted accuracy, seamless data output, secure cloud storage, and efficient integration. The platform has received positive reviews from various businesses, highlighting its efficiency and time-saving capabilities.

Shaped is a cloud-based platform that provides APIs and tools for building and deploying ranking systems. It offers a variety of features to help developers quickly and easily create and manage ranking models, including a multi-connector SQL interface, a real-time feature store, and a library of pre-built models. Shaped is designed to be scalable, cost-efficient, and easy to use, making it a great option for businesses of all sizes.

TabSquare is a full-stack technology platform that connects restaurants with their customers across all channels, both in-store and online. It offers a range of solutions to help restaurants manage every aspect of their operations, from ordering and payment to customer relationship management and data analytics. TabSquare's AI engine, AIDEN, provides personalized diner experiences, menu suggestions, and promotions to help restaurants increase sales and revenue.

Wedo AI is an all-in-one AI-powered platform designed to help businesses attract customers, convert leads, and manage various aspects of online marketing, sales, and delivery. It offers a range of tools such as AI ads, chat bots, social media planner, websites, ecommerce store, memberships, CRM, email marketing, analytics, and more. Wedo AI aims to streamline processes, increase efficiency, and drive revenue growth for entrepreneurs, startups, influencers, non-profits, coaches, contractors, freelancers, and consultants. The platform provides features for managing finances, automating billing, creating funnels, building websites, selling products, engaging with customers, and analyzing data to make informed decisions.

QPNOTES is an AI tool designed to help users save and manage their AI prompts in one convenient location. By enabling JavaScript, users can access the app's features to streamline their AI prompt management process. With QPNOTES, users can easily organize, store, and retrieve their AI prompts efficiently, enhancing their workflow and productivity.

Chative is an AI-powered platform that helps e-commerce and online businesses engage with customers through live chat and chatbots. It offers an Omni-channel inbox to streamline and manage all chats across channels, e-commerce messaging to stay in touch with customers and create new orders, CRM for social messaging to unify customer profiles, and AI agent & automation to automate personalized engagement and support. Chative empowers businesses to centralize data, enhance customer insights, personalize recommendations, and automate repetitive tasks to drive sales and improve customer satisfaction.

A.I. Store Manager is a cutting-edge AI application that serves as a personal assistant for eCommerce businesses. Powered by GPT-4, it redefines eCommerce management through conversational AI, offering a range of skills to enhance store operations. The application is designed to support small to medium businesses across various eCommerce models, providing features like analytics and reporting, product and order management, store setup and optimization, and email communications. With a focus on compliance and data security, the AI Assistant ensures GDPR and CCPA adherence, offering flexibility in skill customization and data management. The application is currently in limited-access beta, with plans for further development and integration with custom eCommerce platforms.

PromptLeo is a prompt engineering platform designed to empower organizations in effectively applying Generative AI. It offers a simple interface for prompt engineers to create, test, and change prompts, integrating Generative AI into daily workflows without the need to store prompts in text files. With features like prompt templates, feedback loop & iterations, access to multiple models, and a dedicated prompt engineering library, PromptLeo aims to streamline prompt management and versioning, enhance prompt performance tracking, and facilitate collaboration among team members.

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.

Coginiti is a collaborative analytics platform and tools designed for SQL developers, data scientists, engineers, and analysts. It offers capabilities such as AI assistant, data mesh, database & object store support, powerful query & analysis, and share & reuse curated assets. Coginiti empowers teams and organizations to manage collaborative practices, data efficiency, and deliver trusted data products faster. The platform integrates modular analytic development, collaborative versioned teamwork, and a data quality framework to enhance productivity and ensure data reliability. Coginiti also provides an AI-enabled virtual analytics advisor to boost team efficiency and empower data heroes.

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.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

Claude Memory is a Chrome extension that enhances interactions with Claude by storing and retrieving important information from conversations, making interactions personalized and context-aware. It allows users to easily manage and organize stored information, with seamless integration with the Claude AI interface.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

Hexabot Community Edition is an open-source chatbot solution designed for flexibility and customization, offering powerful text-to-action capabilities. It allows users to create and manage AI-powered, multi-channel, and multilingual chatbots with ease. The platform features an analytics dashboard, multi-channel support, visual editor, plugin system, NLP/NLU management, multi-lingual support, CMS integration, user roles & permissions, contextual data, subscribers & labels, and inbox & handover functionalities. The directory structure includes frontend, API, widget, NLU, and docker components. Prerequisites for running Hexabot include Docker and Node.js. The installation process involves cloning the repository, setting up the environment, and running the application. Users can access the UI admin panel and live chat widget for interaction. Various commands are available for managing the Docker services. Detailed documentation and contribution guidelines are provided for users interested in contributing to the project.

The official Node.js client for Pinecone, written in TypeScript. This client library provides a high-level interface for interacting with the Pinecone vector database service. With this client, you can create and manage indexes, upsert and query vector data, and perform other operations related to vector search and retrieval. The client is designed to be easy to use and provides a consistent and idiomatic experience for Node.js developers. It supports all the features and functionality of the Pinecone API, making it a comprehensive solution for building vector-powered applications in Node.js.

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.

Geoweaver is an in-browser software that enables users to easily compose and execute full-stack data processing workflows using online spatial data facilities, high-performance computation platforms, and open-source deep learning libraries. It provides server management, code repository, workflow orchestration software, and history recording capabilities. Users can run it from both local and remote machines. Geoweaver aims to make data processing workflows manageable for non-coder scientists and preserve model run history. It offers features like progress storage, organization, SSH connection to external servers, and a web UI with Python support.

GraphRAG Local with Interactive UI is an adaptation of Microsoft's GraphRAG, tailored to support local models and featuring a comprehensive interactive user interface. It allows users to leverage local models for LLM and embeddings, visualize knowledge graphs in 2D or 3D, manage files, settings, and queries, and explore indexing outputs. The tool aims to be cost-effective by eliminating dependency on costly cloud-based models and offers flexible querying options for global, local, and direct chat queries.

The Google Cloud Vertex AI sample repository contains notebooks and community content that demonstrate how to develop and manage ML workflows using Google Cloud Vertex AI.

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.

HF-Waitress is a powerful server application for deploying and interacting with HuggingFace Transformer models. It simplifies running open-source Large Language Models (LLMs) locally on-device, providing on-the-fly quantization via BitsAndBytes, HQQ, and Quanto. It requires no manual model downloads, offers concurrency, streaming responses, and supports various hardware and platforms. The server uses a `config.json` file for easy configuration management and provides detailed error handling and logging.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

The `ai-models` command is a tool used to run AI-based weather forecasting models. It provides functionalities to install, run, and manage different AI models for weather forecasting. Users can easily install and run various models, customize model settings, download assets, and manage input data from different sources such as ECMWF, CDS, and GRIB files. The tool is designed to optimize performance by running on GPUs and provides options for better organization of assets and output files. It offers a range of command line options for users to interact with the models and customize their forecasting tasks.

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

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.

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

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

Data analyst and creative aide for GPT Store apps.

Analyzes current trends and usage in the GPT Store.

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.

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

Expert assistant for market gardeners to maximize profits

Expert in fruit orchards and cultivation with a focus on agriculture and horticulture.

Expert in Pokémon cards, offering advice on collecting, playing, and market trends.

Creates secure, varied passwords and offers security tips.

Etsy store branding and marketing guide.

A guide for dollar store bargain shopping and product insights

Your go-to guide for starting a Print on Demand store with Printful and Shopify.

Agricultural and informative guide on farm supplies and rural living.

Expert in retail industry and consumer goods discussions.

Helps users find stores and businesses with practical, location-based advice.

Product Description Generator for Your eCommerce Store on Shopify, Wix, WooCommerce, and more by WebeCommerceDeveloper.com