Best AI tools for< Generate Database Script Files >

Chat2DB is an AI-driven data management platform that helps users query, edit, analyze, and visualize data. It integrates data management, development, analysis, and application all in one platform. Chat2DB's AI technology enables users to easily handle SQL, generate database data, and test efficiently. It also provides intelligent reports and data exploration features that allow users to interact with data using natural language.

DB Sensei is an AI-powered SQL tool that helps developers generate, fix, explain, and format SQL queries with ease. It features a user-friendly interface, AI-driven query generation, query fixing, query explaining, and query formatting. DB Sensei is designed for developers, database administrators, and students who want to get faster results and improve their database skills.

Marblism is a platform that allows developers to quickly and easily launch React and Node.js applications. With Marblism, developers can generate the database schema, all the endpoints in the API, the design system, and even a few pages in the front-end. This can save developers a significant amount of time and effort, allowing them to focus on adding their unique touch to their applications.

Facts Generator AI is a free innovative online tool designed to quench the thirst for knowledge of curious minds across the globe. This cutting-edge platform harnesses the power of artificial intelligence to generate accurate, interesting, and diverse facts about a wide array of subjects ranging from the mysteries of the universe to historical events, scientific discoveries, cultural nuances, and much more. Whether you're a student seeking to broaden your horizons, a teacher looking to enrich your lessons, a content creator in search of inspiration, or simply a trivia enthusiast eager to learn something new every day, Facts Generator AI is tailored to meet your needs. With an intuitive interface and a sophisticated AI at its core, this tool offers a seamless and engaging experience, making the exploration of knowledge both effortless and fascinating.

AI Query is a powerful tool that allows users to generate SQL queries in seconds using simple English. With AI Query, anyone can create efficient SQL queries, without even knowing a thing about it. AI Query is easy to use and affordable, making it a great choice for businesses of all sizes.

Mikie.AI is an AI-powered tool that allows users to generate SQL queries in seconds using natural language. It simplifies the process of creating efficient SQL queries by leveraging AI technology. Users can define database schemas easily, translate SQL to English, and benefit from simple pricing plans. Mikie.AI aims to make SQL query generation error-free and accessible to all types of users, even those with limited SQL knowledge.

Text2SQL.AI is an AI-powered SQL query builder that helps users generate optimized SQL queries effortlessly. It supports various AI-powered services, including SQL query building from textual instructions, SQL query explanation to plain English, SQL query error fixation, adding custom database schemas, SQL dialects for various database types, Microsoft Excel and Google Sheets formula generation and explanation, and Regex expression generation and explanation. The tool is designed to improve SQL skills, save time, and assist beginners, data analysts, data scientists, data engineers, and software developers in their work.

Vanna.AI is a personalized AI SQL agent that allows users to get actionable insights from their database by simply asking questions. It helps users to write SQL queries efficiently and quickly, even if they are not SQL experts. The application is open-source, highly accurate on complex datasets, secure, self-learning, and supports various databases. Vanna.AI is fully customizable to match unique needs and offers different front-end integrations for user convenience.

WebDB is an open-source and efficient Database IDE that focuses on providing a secure and user-friendly platform for database management. It offers features such as automatic DBMS discovery, credential guessing, time machine for database version control, powerful queries editor with autocomplete and documentation, AI assistant integration, NoSQL structure management, intelligent data generation, and more. With a modern ERD view and support for various databases, WebDB aims to simplify database management tasks and enhance productivity for users.

Ylopo is an AI-driven lead generation, follow-up, and database management platform designed for real estate agents and teams. It offers a suite of AI-powered tools and features to help users generate high-quality seller leads, nurture leads, and improve lead conversion rates. Ylopo's AI technology is integrated into various aspects of the platform to enhance performance and efficiency. The platform also provides training courses, CRM integration, dynamic video ads, and mission control dashboard for users to manage their marketing campaigns effectively.

SQL Builder is an AI-powered SQL query generator that allows users to easily generate complex SQL queries without writing any code. It offers a range of features such as a no-code SQL builder, SQL syntax explainer, SQL optimizer, SQL formatter, NoSQL query builder, and SQL syntax validator. SQL Builder supports various databases including MySQL, MariaDB, SQLite, PostgreSQL, Oracle, Microsoft SQL Server, MongoDB, BigQuery, Snowflake, and Amazon Redshift.

SQLyze is an AI SQL generator that revolutionizes the way users interact with SQL queries. By leveraging artificial intelligence, SQLyze simplifies the process of crafting complex SQL queries into a user-friendly three-step approach. Users can effortlessly describe their data needs, add database schema details, and receive custom AI-generated SQL queries tailored to their specific requirements. With SQLyze, users can streamline their SQL querying process and enhance query accuracy, ultimately saving time and improving productivity.

Prompt Hackers is an AI tool designed to provide users with the best ChatGPT prompts on the internet. Users can download the Chrome Extension to access Prompt Hackers directly in ChatGPT. The platform offers a diverse array of prompts tailored to various needs, including writing, marketing, education, coding, and more. With Prompt Hackers, users can generate captivating and imaginative prompts to enhance their creativity and engage in meaningful discussions.

Prospre is a meal planning app that helps users create personalized meal plans based on their calorie and macro goals. The app also includes a macro tracker, a recipe database, and a grocery list generator. Prospre is designed to make it easy for users to eat healthy and reach their fitness goals.

PromptxArt is an online tool that helps users generate prompts for art using AI. It provides a variety of features to help users create unique and interesting prompts, including a database of over 100,000 images, a variety of filters and effects, and the ability to share and collaborate with other users.

VBA Code Generator is an AI-powered tool that allows users to generate VBA code quickly and efficiently. By inputting requirements, users can instantly generate complex VBA code using simple text instructions with the help of AI. The tool is designed for both beginners and experienced users, offering a versatile application that can handle various VBA tasks, from Excel automation to Access database management. With a focus on saving time and streamlining workflows, VBA Code Generator simplifies the coding process and provides accurate formulas for users' specific needs.

Brandix is an AI-powered tool that helps users generate brand names quickly and effortlessly. Users can input their ideas or choose from various categories, and the tool will provide them with suitable brand names in seconds. Additionally, Brandix offers the convenience of checking domain availability instantly. With a user-friendly interface and a database of generated names, Brandix aims to assist individuals and businesses in finding the perfect brand name for their products or services.

Sequel is an AI-powered tool that serves as a natural language interface for databases, allowing users to effortlessly navigate and understand their data without the need to write complex SQL queries. By simply asking questions in plain English, users can quickly obtain insights and visualizations from their database. The tool supports a wide range of databases and services, ensuring users can connect to their existing database securely and efficiently. Sequel's AI capabilities enable users to generate SQL queries, uncover insights, and make better decisions based on the data analysis.

Pic Copilot is an AI-powered marketing tool designed to help e-commerce businesses create professional-looking marketing ads with just one click. It offers a range of features including AI product ads creator, background remover, instant backgrounds, image translator, and AI fashion models. With its vast database of marketing images and expert-designed templates, Pic Copilot helps businesses highlight product selling points and increase customer engagement.

Outerbase is an AI-powered database platform that allows users to view, query, visualize, and edit their data. It features an AI Copilot, EZQL™, that can answer questions and generate SQL queries, a table editor that makes it easy to work with data, and a variety of plugins and themes to customize the experience. Outerbase integrates with most popular databases, including Postgres, MySQL, BigQuery, and Snowflake.

Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

Bee is an easy and high efficiency ORM framework that simplifies database operations by providing a simple interface and eliminating the need to write separate DAO code. It supports various features such as automatic filtering of properties, partial field queries, native statement pagination, JSON format results, sharding, multiple database support, and more. Bee also offers powerful functionalities like dynamic query conditions, transactions, complex queries, MongoDB ORM, cache management, and additional tools for generating distributed primary keys, reading Excel files, and more. The newest versions introduce enhancements like placeholder precompilation, default date sharding, ElasticSearch ORM support, and improved query capabilities.

CodeSpin.AI is a set of open-source code generation tools that leverage large language models (LLMs) to automate coding tasks. With CodeSpin, you can generate code in various programming languages, including Python, JavaScript, Java, and C++, by providing natural language prompts. CodeSpin offers a range of features to enhance code generation, such as custom templates, inline prompting, and the ability to use ChatGPT as an alternative to API keys. Additionally, CodeSpin provides options for regenerating code, executing code in prompt files, and piping data into the LLM for processing. By utilizing CodeSpin, developers can save time and effort in coding tasks, improve code quality, and explore new possibilities in code generation.

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

Yet Another Chatbot is a sophisticated multimodal chat interface powered by advanced AI models and equipped with a variety of tools. This chatbot can search and browse the web in real-time, query Wikipedia for information, perform news and map searches, execute Python code, compose long-form articles mixing text and images, generate, search, and compare images, analyze documents and images, search and download arXiv papers, save conversations as text and audio files, manage checklists, and track personal improvements. It offers tools for web interaction, Wikipedia search, Python scripting, content management, image handling, arXiv integration, conversation generation, file management, personal improvement, and checklist management.

AIDE (Advanced Intrusion Detection Environment) is a tool for monitoring file system changes. It can be used to detect unauthorized changes to monitored files and directories. AIDE was written to be a simple and free alternative to Tripwire. Features currently included in AIDE are as follows: o File attributes monitored: permissions, inode, user, group file size, mtime, atime, ctime, links and growing size. o Checksums and hashes supported: SHA1, MD5, RMD160, and TIGER. CRC32, HAVAL and GOST if Mhash support is compiled in. o Plain text configuration files and database for simplicity. o Rules, variables and macros that can be customized to local site or system policies. o Powerful regular expression support to selectively include or exclude files and directories to be monitored. o gzip database compression if zlib support is compiled in. o Free software licensed under the GNU General Public License v2.

QANTA is a system and dataset for question answering tasks. It provides a script to download datasets, preprocesses questions, and matches them with Wikipedia pages. The system includes various datasets, training, dev, and test data in JSON and SQLite formats. Dependencies include Python 3.6, `click`, and NLTK models. Elastic Search 5.6 is needed for the Guesser component. Configuration is managed through environment variables and YAML files. QANTA supports multiple guesser implementations that can be enabled/disabled. Running QANTA involves using `cli.py` and Luigi pipelines. The system accesses raw Wikipedia dumps for data processing. The QANTA ID numbering scheme categorizes datasets based on events and competitions.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

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.

This starter project is designed to process `.mdx` files in the `pages` directory to use as custom context within OpenAI Text Completion prompts. It involves building a custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase. The project includes steps for pre-processing knowledge base, storing embeddings in Postgres, performing vector similarity search, and injecting content into OpenAI GPT-3 text completion prompt.

RAFT (Retrieval-Augmented Fine-Tuning) is a method for creating conversational agents that realistically emulate specific human targets. It involves a dual-phase process of fine-tuning and retrieval-based augmentation to generate nuanced and personalized dialogue. The tool is designed to combine interview transcripts with memories from past writings to enhance language model responses. RAFT has the potential to advance the field of personalized, context-sensitive conversational agents.

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 repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

Middleware is an open-source engineering management tool that helps engineering leaders measure and analyze team effectiveness using DORA metrics. It integrates with CI/CD tools, automates DORA metric collection and analysis, visualizes key performance indicators, provides customizable reports and dashboards, and integrates with project management platforms. Users can set up Middleware using Docker or manually, generate encryption keys, set up backend and web servers, and access the application to view DORA metrics. The tool calculates DORA metrics using GitHub data, including Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate. Middleware aims to provide DORA metrics to users based on their Git data, simplifying the process of tracking software delivery performance and operational efficiency.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

LangChain Extract is a simple web server that allows you to extract information from text and files using LLMs. It is built using FastAPI, LangChain, and Postgresql. The backend closely follows the extraction use-case documentation and provides a reference implementation of an app that helps to do extraction over data using LLMs. This repository is meant to be a starting point for building your own extraction application which may have slightly different requirements or use cases.

Bee is an ORM framework that provides easy and high-efficiency database operations, allowing developers to focus on business logic development. It supports various databases and features like automatic filtering, partial field queries, pagination, and JSON format results. Bee also offers advanced functionalities like sharding, transactions, complex queries, and MongoDB ORM. The tool is designed for rapid application development in Java, offering faster development for Java Web and Spring Cloud microservices. The Enterprise Edition provides additional features like financial computing support, automatic value insertion, desensitization, dictionary value conversion, multi-tenancy, and more.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

Pass in the attributes of Pojo entity class objects, generate corresponding addition, deletion, modification, and pagination query functions, including generating database connection configuration files yaml and database script files, as well as XML dynamic SQL concatenation statements.

Takes in a Project Design Document and generates a database schema diagram for the project.

Generate SQL Queries Using Your Database, Tailored for Every Skill Level!

Generate Type-safe SQL queries and schemas

Expert in generating and debugging Neo4j code, with explanations on graph database principles.

Generates UUIDs, ULIDs, and NanoIDs on request

Generates a UUID in a text code block for any request.

Expert in SQL Server for database management, optimization, and troubleshooting.

Manages a database of SaaS applications

Natural Language to SQL. Just provide your database schema and ask your questions.

Expert on all AI topics, with AI database access

This GPT uses external knowledge of ArXiv and Wikipedia with MyScale vector database to boost your chatting experience.

Connect and chat with your databases without writing SQL code - Supports MySQL, PostgreSQL, MongoDB, SQL Server. by AskYourDatabase.

专为MYSQL与Django设计的DB-GPT，提供性能分析与优化建议。

Pivots to UUIDs, generates one.

Answers questions and generates solutions using MS SQL and related technologies

根据用户要求生成指定SQL语句

Your SQL crafting companion.

Convert application descriptions to consumable DB schemas or create-table SQL statements

Generates GUIDs with technical precision