Best AI tools for< get data from database >

TableTalk is a natural language interface that allows you to ask questions about your database and get answers back in a way that feels familiar. It utilizes artificial intelligence to better map out your database in a way that feels like you're talking to a human. TableTalk is currently in beta, but they're looking for more users to help them build the best product possible.

Vanna.AI is a personalized AI SQL agent that helps you write SQL queries for your database. It is designed to be fast, accurate, and easy to use. Vanna.AI can be used by anyone, regardless of their SQL skills. It is a great tool for data analysts, data scientists, and anyone else who needs to get insights from their data.

Hal9 is an AI-powered tool that helps you get instant answers from your data. It uses natural language processing and machine learning to understand your questions and provide accurate answers. Hal9 can be used for a variety of tasks, including customer service, market research, and data analysis.

Snaplet is a data management tool for developers that provides AI-generated dummy data for local development, end-to-end testing, and debugging. It uses a real programming language (TypeScript) to define and edit data, ensuring type safety and auto-completion. Snaplet understands database structures and relationships, automatically transforming personally identifiable information and seeding data accordingly. It integrates seamlessly into development workflows, providing data where it's needed most: on local machines, for CI/CD testing, and preview environments.

Census GPT is an AI-powered tool that allows users to access and analyze data from the US Census Bureau. The tool is designed to be easy to use, even for those with no experience with data analysis. With Census GPT, users can quickly and easily get insights into a variety of topics, including demographics, crime, income, education levels, and population. The tool is also constantly being updated with new data, so users can always be sure that they are getting the most up-to-date information.

Findly is a data analytics platform that allows users to ask questions about their data and receive insights and reports. It integrates with various data sources such as Google Analytics, Facebook Ads, and BigQuery, and provides features such as data visualization, scheduled reporting, and templates. Findly is designed to make data analysis accessible and actionable for everyone on a team, regardless of their technical expertise.

Athena AI is an enterprise chat tool powered by generative AI that enables teams to communicate with their data and receive accurate responses. It connects to various data sources, including files, databases, and third-party applications, allowing users to ask questions, extract insights, and make informed decisions. Athena AI aims to enhance productivity, streamline workflows, and improve collaboration within organizations.

Inven is an AI-powered company data platform that helps professionals in private equity, investment banking, business brokerage, consulting, and corporate development find companies faster and more efficiently. With Inven, users can access a database of over 23 million companies and 430 million contacts in over 160 countries. Inven's AI algorithms and NLP solutions analyze millions of data points from a wide range of sources to give users actionable insights on any niche.

InsightBase is a powerful AI-powered analytics platform that makes it easy for everyone to get insights from their data. With InsightBase, you can ask questions in plain English and get answers in seconds, build powerful dashboards and reports in minutes, and get the most out of your data with the least amount of time, money, and resources.

DataLang is a tool that allows you to chat with your databases, expose a specific set of data (using SQL) to train GPT, and then chat with it in natural language. You can also use DataLang to automatically make your SQL views available via API, share it with your privately users, or make it public.

JobCopilot is an AI-powered job application automation tool designed to streamline the job search process. It helps users automatically apply to jobs from a vast database of companies worldwide, manage job applications efficiently, and enhance their resumes and cover letters using AI technology. With JobCopilot, users can save time, increase their chances of getting interviews, and never miss out on job opportunities.

Quivr is an open-source, chat-powered second brain that allows users to build a unified search engine across all their documents, tools, and databases. It is powered by AI and continuously trains on the user's company's unique context to improve search relevance and knowledge discovery. Quivr can be integrated with a variety of tools and applications, and users can choose from a variety of GenAI models to get the best results for their specific tasks.

Find My Remote is an AI-powered job search platform that streamlines the job hunting process by leveraging artificial intelligence to find and structure job postings from various ATS platforms. Users can set their job preferences, receive personalized job matches, and save time by applying to curated job listings. The platform offers exclusive job opportunities not typically found on popular job search websites like LinkedIn. With features such as job discovery, application tracking, and faster application process, Find My Remote aims to revolutionize the way job seekers find and apply for jobs.

Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Mysports AI is an AI-powered sports prediction platform that provides users with valuable betting insights and recommendations. The platform utilizes deep learning algorithms to analyze a vast database of sports data and identify profitable betting opportunities. Users can choose from a variety of betting strategies and place bets directly through the platform. Mysports AI also offers a range of features such as a prediction model maker, app, and betting tips to help users maximize their profits.

Raizer is an online platform that connects startups with investors. It offers a variety of features to help startups raise capital, including a database of over 55,000 investors, AI-powered outreach tools, and warm intro requests. Raizer also provides resources and guidance to help startups prepare for fundraising, such as a fundraising guide and tips from experienced founders.

heißdocs is a tool that adds a superfast search layer on top of scanned or digital PDFs. It also has AI-powered Question-Answering capabilities. With heißdocs, you can easily find information in your PDFs without having to sift through thousands of pages. You can also own your data and host it yourself. heißdocs is open source, so you can view the code, make modifications, or request modifications as you like.

Tablize is a powerful data extraction tool that helps you turn unstructured data into structured, tabular format. With Tablize, you can easily extract data from PDFs, images, and websites, and export it to Excel, CSV, or JSON. Tablize uses artificial intelligence to automate the data extraction process, making it fast and easy to get the data you need.

Sonny9 is an AI-powered data collection tool designed specifically for CPAs, tax preparers, and auditors. It helps professionals in these fields collect customer information and documents efficiently, minimizing the time and effort spent on back-and-forth communications. With Sonny9, users can automate repetitive tasks, receive notifications about new insights and consulting opportunities, and get prepared data for further analysis. The tool integrates with QuickBooks and can automatically extract data from documents into CSV format. Sonny9 also provides users with tips and opportunities for high-level consulting services based on customer information.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

Dwata is a desktop application that allows users to chat with any AI model and gain insights from their data. Chats are organized into threads, similar to Discord, with each thread connecting to a different AI model. Dwata can connect to databases, APIs (such as Stripe), or CSV files and send structured data as prompts when needed. The AI's response will often include SQL or Python code, which can be used to extract the desired insights. Dwata can validate AI-generated SQL to ensure that the tables and columns referenced are correct and can execute queries against the database from within the application. Python code (typically using Pandas) can also be executed from within Dwata, although this feature is still in development. Dwata supports a range of AI models, including OpenAI's GPT-4, GPT-4 Turbo, and GPT-3.5 Turbo; Groq's LLaMA2-70b and Mixtral-8x7b; Phind's Phind-34B and Phind-70B; Anthropic's Claude; and Ollama's Llama 2, Mistral, and Phi-2 Gemma. Dwata can compare chats from different models, allowing users to see the responses of multiple models to the same prompts. Dwata can connect to various data sources, including databases (PostgreSQL, MySQL, MongoDB), SaaS products (Stripe, Shopify), CSV files/folders, and email (IMAP). The desktop application does not collect any private or business data without the user's explicit consent.

Naas (Notebooks as a service) is an open source platform that enables users to create powerful data engines combining automation, analytics, and AI from Jupyter notebooks. It offers features like templates for automated data jobs and reports, drivers for data connectivity, and production-ready environment with scheduling and notifications. Naas aims to provide an alternative to Google Colab with enhanced low-code layers.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

The user interface (and the main server) of the simulator of aids and social benefits for young people. It is based on the free socio-fiscal simulator Openfisca.

Dataherald is a natural language-to-SQL engine built for enterprise-level question answering over structured data. It allows you to set up an API from your database that can answer questions in plain English. You can use Dataherald to: * Allow business users to get insights from the data warehouse without going through a data analyst * Enable Q+A from your production DBs inside your SaaS application * Create a ChatGPT plug-in from your proprietary data

Quadratic is a modern multiplayer spreadsheet application that integrates Python, AI, and SQL functionalities. It aims to streamline team collaboration and data analysis by enabling users to pull data from various sources and utilize popular data science tools. The application supports building dashboards, creating internal tools, mixing data from different sources, exploring data for insights, visualizing Python workflows, and facilitating collaboration between technical and non-technical team members. Quadratic is built with Rust + WASM + WebGL to ensure seamless performance in the browser, and it offers features like WebGL Grid, local file management, Python and Pandas support, Excel formula support, multiplayer capabilities, charts and graphs, and team support. The tool is currently in Beta with ongoing development for additional features like JS support, SQL database support, and AI auto-complete.

DeepBI is an AI-native data analysis platform that leverages the power of large language models to explore, query, visualize, and share data from any data source. Users can use DeepBI to gain data insight and make data-driven decisions.

db-ally is a library for creating natural language interfaces to data sources. It allows developers to outline specific use cases for a large language model (LLM) to handle, detailing the desired data format and the possible operations to fetch this data. db-ally effectively shields the complexity of the underlying data source from the model, presenting only the essential information needed for solving the specific use cases. Instead of generating arbitrary SQL, the model is asked to generate responses in a simplified query language.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.

Databend is an open-source cloud data warehouse that serves as a cost-effective alternative to Snowflake. With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.

TaskWeaver is a code-first agent framework designed for planning and executing data analytics tasks. It interprets user requests through code snippets, coordinates various plugins to execute tasks in a stateful manner, and preserves both chat history and code execution history. It supports rich data structures, customized algorithms, domain-specific knowledge incorporation, stateful execution, code verification, easy debugging, security considerations, and easy extension. TaskWeaver is easy to use with CLI and WebUI support, and it can be integrated as a library. It offers detailed documentation, demo examples, and citation guidelines.

Create TSI is a generative AI RAG toolkit that simplifies the process of creating AI Applications using LlamaIndex with low code. The toolkit leverages LLMs hosted by T-Systems on Open Telekom Cloud to generate bots, write agents, and customize them for specific use cases. It provides a Next.js-powered front-end for a chat interface, a Python FastAPI backend powered by llama-index package, and the ability to ingest and index user-supplied data for answering questions.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

AI-powered call center solution with Azure and OpenAI GPT. The bot can answer calls, understand the customer's request, and provide relevant information or assistance. It can also create a todo list of tasks to complete the claim, and send a report after the call. The bot is customizable, and can be used in multiple languages.

Receive trusted and up-to-date information on the metaverse and spatial computing, sourced from a curated database by Tom Ffiske. Updated weekly with the latest data, and current in Beta.

Compile instructions from the web and github for bioinformatics applications. Receive line-by-line instructions and commands to get started

安達孝一さんがSE時代に蓄積してきた、Oracle RDBMSのナレッジやノウハウ等 (Oracle 7/8.1.6/8.1.7/9iR1/9iR2/10gR1/10gR2/11gR2/12c/SQLチューニング) について、ご質問頂けます。また、対話内容を基に、ChatGPT(GPT-4)向けの、汎用的な質問文例も作成できます。

I turn Toggl data into insightful visuals. Get your data from Settings (in Toggl Track) -> Data Export -> Export Time Entries. Ask for bonus analyses and plots :)

Helps get map data from Open Street Map by generating Overpass Turbo queries. Ask me for mapping features like cafes, rivers or highways

Export comparison data from GSC to get a scatter plot of keyword rankings before and after an update.

“Data Deep Dive”: This is an expert AI tool for Excel and Power BI. Get expert help with DAX, Power Query, VBA, data models, and visualizations. Ideal for all levels: from basic functions to advanced analytics.

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

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To get started, please type "menu" and select an option from the menu by typing the corresponding keyword or number. If at any time you need assistance or wish to ask a question, just type "help" for more options.

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Get all the information you need for your ESG report faster and precise from the relevant documents!

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AI news aggregator from top tech sources

Average score from Metacritic, Rotten Tomatoes, IMDB, TMDB for any movie or series.

Expert at fetching repository information from GitHub, Hugging Face. and you local repositories

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Answers questions using Public Data about Sri Lanka.

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