Best AI tools for< Handle Databases >

BotX is a No-Code AI Platform that enables users to automate and deploy generative AI workflows, chatbots, and solutions. It offers production-ready AI systems to increase productivity, build AI agents and chatbots, automate workflows, create or process documents, and connect models effortlessly. With a focus on efficiency and reliability, BotX aims to simplify AI implementation for businesses of all sizes.

Tipis AI is an AI assistant for data processing that uses Large Language Models (LLMs) to quickly read and analyze mainstream documents with enhanced precision. It can also generate charts, integrate with a wide range of mainstream databases and data sources, and facilitate seamless collaboration with other team members. Tipis AI is easy to use and requires no configuration.

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.

Fleak AI Workflows is a low-code serverless API Builder designed for data teams to effortlessly integrate, consolidate, and scale their data workflows. It simplifies the process of creating, connecting, and deploying workflows in minutes, offering intuitive tools to handle data transformations and integrate AI models seamlessly. Fleak enables users to publish, manage, and monitor APIs effortlessly, without the need for infrastructure requirements. It supports various data types like JSON, SQL, CSV, and Plain Text, and allows integration with large language models, databases, and modern storage technologies.

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.

Norfolk AI is an AI application that offers AI agents to assist in B2B sales prospecting. The AI agents handle tasks like building databases, initiating outreach, qualifying leads, and organizing meetings via calls and chats. By leveraging advanced AI and proven sales techniques, Norfolk AI aims to create an efficient sales funnel, delivering qualified sales meetings that boost revenue and growth. The application combines AI technology with conversational AI for cold calling and multi-channel outreach to engage with interested prospects and generate high-quality sales opportunities.

Code Companion AI is a desktop application powered by OpenAI's ChatGPT, designed to aid by performing a myriad of coding tasks. This application streamlines project management with its chatbot interface that can execute shell commands, generate code, handle database queries and review your existing code. Tasks are as simple as sending a message - you could request creation of a .gitignore file, or deploy an app on AWS, and CodeCompanion.AI does it for you. Simply download CodeCompanion.AI from the website to enjoy all features across various programming languages and platforms.

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.

Basedash is an AI-powered data visualization and management tool that enables teams to collaborate and share insights from their databases. It offers features such as a user-friendly interface, customizable dashboards, and powerful SQL editing capabilities. Basedash is designed to streamline data exploration, analysis, and decision-making, making it suitable for various use cases, including customer relationship management, product development, and data-driven decision-making.

WorkBot is an AI-powered customer service platform that autonomously handles customer communications, automates processes with AI agents, and uncovers deeper insights from customer data. It centralizes knowledge management, offers API integration, enables automation with AI agents, and provides unmatched security and privacy features. WorkBot's AI chatbot feature allows for cost-effective support for customers, with the ability to connect to any database, embed into websites, and integrate with various tools. The platform revolutionizes customer service, sales support, lead generation, and HR management, offering 24/7 support, automation, and personalized assistance. WorkBot also features AI voice agents for automated customer support call handling, appointment booking, and customized AI solutions tailored to individual needs.

Ambi Robotics is an AI-powered robotics company that offers solutions for parcel sortation. Their innovative technology combines hardware and software to empower people to handle more efficiently. With solutions like AmbiSort A-Series and AmbiSort B-Series, they provide AI-powered robotic small parcel sorting and modular parcel induction and sorting systems. Ambi Robotics focuses on enhancing efficiency, scaling seamlessly, and delivering customer-centered experiences. Their technology includes Sim2Real AI Robot dexterity for real-world simulation and intelligent gripper technology for precise pick-and-place capabilities. The company aims to optimize facility performance, maximize sorting accuracy, and boost efficiency with reliable uptime. Ambi Robotics is dedicated to providing solutions that are easy to deploy, powerful, and seamlessly integrate with existing workflows.

Ticket AI is a Discord bot that automates customer support by answering tickets with AI. It simplifies support by allowing users to upload training data, such as support documents, and then using that data to answer customer questions. Ticket AI is easy to use, with no coding experience required, and it offers features such as custom support channels, ephemeral replies, and 24/7 availability. With Ticket AI, businesses can save time and improve the efficiency of their customer support.

Resolvd is an AI-powered incident resolution platform that creates a knowledge base of logs, data sources, and apps to autonomously diagnose and resolve incidents. It helps cut down response time, reduce manual log review efforts, and streamline data querying with automated anomaly detection. Resolvd integrates with various systems like Slack, Jira, and PagerDuty to deliver insights in real-time and supercharge incident response.

Tactiq is a live transcription and AI summary tool for Google Meet, Zoom, and MS Teams. It provides real-time transcriptions, speaker identification, and AI-powered insights to help users focus on the meeting and take effective notes. Tactiq also offers one-click AI actions, such as generating meeting summaries, crafting follow-up emails, and formatting project updates, to streamline post-meeting workflows.

ScribVet is an AI Veterinary Scribe application that allows veterinarians to write veterinary records quickly and accurately by recording their observations during exams. The AI tool converts spoken words into structured medical notes, saving time and effort in documentation. ScribVet supports multiple languages and offers diverse templates for various document types, making it a versatile tool for veterinary care practices.

Collato is an AI assistant designed to help product teams save time on writing documents, answering questions, and generating new content. It can find, summarize, and generate new content based on your own product knowledge, saving you hours in manual work. Collato is also self-hosted, so you can keep your data private and secure.

Jason AI is a conversational AI assistant designed specifically for B2B sales professionals. It automates outreach sequences, handles prospect responses, and books meetings, freeing up sales reps to focus on closing deals. Jason AI uses advanced natural language processing (NLP) to understand the context of conversations and respond in a personalized and engaging way. It integrates with popular CRM and email platforms, making it easy to use and manage.

Rgx.tools is an AI-powered text-to-regex generator that helps users create regular expressions quickly and easily. It is a wrapper around OpenAI's gpt-3.5-chat model, which generates clean, readable, and efficient regular expressions based on user input. Rgx.tools is designed to make the process of writing regular expressions less painful and more accessible, even for those with limited experience.

Capital Companion is an AI-powered trading and investing platform designed to provide users with a competitive edge in the markets. The platform offers a range of features including 24/7 AI assistant support, intelligent trading recommendations, risk analysis tools, real-time stock analytics, market sentiment analysis, and pattern recognition for technical analysis. By leveraging artificial intelligence, Capital Companion aims to help traders make well-informed decisions and protect their investments in a dynamic market environment.

Wisedocs is an AI-powered platform that specializes in medical record reviews, summaries, and insights for claims processing. The platform offers intelligent features such as medical chronologies, workflows, deduplication, intelligent OCR, and insights summaries. Wisedocs streamlines the process of reviewing medical records for insurance, legal, and independent medical evaluation firms, providing speed, accuracy, and efficiency in claims processing. The platform automates tasks that were previously laborious and error-prone, making it a valuable tool for industries dealing with complex medical records.

A distributed Java game server based on chess, card, and MMORPG games, theoretically capable of infinitely scaling gateway, lobby, and game servers to accommodate player numbers. It implements a cluster registration center, common servers such as gateway, login, and backend server monitoring; encapsulates Redis cluster, MongoDB, and other database handling; encapsulates message queues, thread models, and tools such as data import. The gateway server uses Mina to encapsulate TCP, UDP, WebSocket, HTTP communication, allowing the framework to support multiple protocol clients for gaming. Each directory ending with 'scripts' contains script files for the corresponding projects.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses an Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. The tool supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled languages. It generates JUnit tests, detects faults, handles SQL databases, and supports authentication. EvoMaster has been funded by the European Research Council and the Research Council of Norway.

ByteChef is an open-source, low-code, extendable API integration and workflow automation platform. It provides an intuitive UI Workflow Editor, event-driven & scheduled workflows, multiple flow controls, built-in code editor supporting Java, JavaScript, Python, and Ruby, rich component ecosystem, extendable with custom connectors, AI-ready with built-in AI components, developer-ready to expose workflows as APIs, version control friendly, self-hosted, scalable, and resilient. It allows users to build and visualize workflows, automate tasks across SaaS apps, internal APIs, and databases, and handle millions of workflows with high availability and fault tolerance.

Ryoma is an AI Powered Data Agent framework that offers a comprehensive solution for data analysis, engineering, and visualization. It leverages cutting-edge technologies like Langchain, Reflex, Apache Arrow, Jupyter Ai Magics, Amundsen, Ibis, and Feast to provide seamless integration of language models, build interactive web applications, handle in-memory data efficiently, work with AI models, and manage machine learning features in production. Ryoma also supports various data sources like Snowflake, Sqlite, BigQuery, Postgres, MySQL, and different engines like Apache Spark and Apache Flink. The tool enables users to connect to databases, run SQL queries, and interact with data and AI models through a user-friendly UI called Ryoma Lab.

aiosqlite is a Python library that provides a friendly, async interface to SQLite databases. It replicates the standard sqlite3 module but with async versions of all the standard connection and cursor methods, along with context managers for automatically closing connections and cursors. It allows interaction with SQLite databases on the main AsyncIO event loop without blocking execution of other coroutines while waiting for queries or data fetches. The library also replicates most of the advanced features of sqlite3, such as row factories and total changes tracking.

Amplication is a robust, open-source development platform designed to revolutionize the creation of scalable and secure .NET and Node.js applications. It automates backend applications development, ensuring consistency, predictability, and adherence to the highest standards with code that's built to scale. The user-friendly interface fosters seamless integration of APIs, data models, databases, authentication, and authorization. Built on a flexible, plugin-based architecture, Amplication allows effortless customization of the code and offers a diverse range of integrations. With a strong focus on collaboration, Amplication streamlines team-oriented development, making it an ideal choice for groups of all sizes, from startups to large enterprises. It enables users to concentrate on business logic while handling the heavy lifting of development. Experience the fastest way to develop .NET and Node.js applications with Amplication.

Lantern is an open-source PostgreSQL database extension designed to store vector data, generate embeddings, and handle vector search operations efficiently. It introduces a new index type called 'lantern_hnsw' for vector columns, which speeds up 'ORDER BY ... LIMIT' queries. Lantern utilizes the state-of-the-art HNSW implementation called usearch. Users can easily install Lantern using Docker, Homebrew, or precompiled binaries. The tool supports various distance functions, index construction parameters, and operator classes for efficient querying. Lantern offers features like embedding generation, interoperability with pgvector, parallel index creation, and external index graph generation. It aims to provide superior performance metrics compared to other similar tools and has a roadmap for future enhancements such as cloud-hosted version, hardware-accelerated distance metrics, industry-specific application templates, and support for version control and A/B testing of embeddings.

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.

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.

Ragtacts is a Clojure library that allows users to easily interact with Large Language Models (LLMs) such as OpenAI's GPT-4. Users can ask questions to LLMs, create question templates, call Clojure functions in natural language, and utilize vector databases for more accurate answers. Ragtacts also supports RAG (Retrieval-Augmented Generation) method for enhancing LLM output by incorporating external data. Users can use Ragtacts as a CLI tool, API server, or through a RAG Playground for interactive querying.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

PremSQL is an open-source library designed to help developers create secure, fully local Text-to-SQL solutions using small language models. It provides essential tools for building and deploying end-to-end Text-to-SQL pipelines with customizable components, ideal for secure, autonomous AI-powered data analysis. The library offers features like Local-First approach, Customizable Datasets, Robust Executors and Evaluators, Advanced Generators, Error Handling and Self-Correction, Fine-Tuning Support, and End-to-End Pipelines. Users can fine-tune models, generate SQL queries from natural language inputs, handle errors, and evaluate model performance against predefined metrics. PremSQL is extendible for customization and private data usage.

Langchain.rb is a Ruby library that makes it easy to build LLM-powered applications. It provides a unified interface to a variety of LLMs, vector search databases, and other tools, making it easy to build and deploy RAG (Retrieval Augmented Generation) systems and assistants. Langchain.rb is open source and available under the MIT License.

TinyLLM is a project that helps build a small locally hosted language model with a web interface using consumer-grade hardware. It supports multiple language models, builds a local OpenAI API web service, and serves a Chatbot web interface with customizable prompts. The project requires specific hardware and software configurations for optimal performance. Users can run a local language model using inference servers like vLLM, llama-cpp-python, and Ollama. The Chatbot feature allows users to interact with the language model through a web-based interface, supporting features like summarizing websites, displaying news headlines, stock prices, weather conditions, and using vector databases for queries.

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.

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.

SUQL (Structured and Unstructured Query Language) is a tool that augments SQL with free text primitives for building chatbots that can interact with relational data sources containing both structured and unstructured information. It seamlessly integrates retrieval models, large language models (LLMs), and traditional SQL to provide a clean interface for hybrid data access. SUQL supports optimizations to minimize expensive LLM calls, scalability to large databases with PostgreSQL, and general SQL operations like JOINs and GROUP BYs.

LLMClient is a JavaScript/TypeScript library that simplifies working with large language models (LLMs) by providing an easy-to-use interface for building and composing efficient prompts using prompt signatures. These signatures enable the automatic generation of typed prompts, allowing developers to leverage advanced capabilities like reasoning, function calling, RAG, ReAcT, and Chain of Thought. The library supports various LLMs and vector databases, making it a versatile tool for a wide range of applications.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This GPT is a specialized assistant for Flask, the popular web framework in Python. It is designed to help both beginners and experienced developers with Flask-related queries, ranging from basic setup and routing to advanced features like database integration and application scaling.

Your PHP & Laravel mentor.

Welcome to AwkwardSituation Solver GPT! I am here to help you handle those cringe-worthy social moments with a touch of humor and creativity.

Using "Crucial Conversations," I can help you handle work and home challenges with confidence and clarity.

Role-play with a narcissist emulator: Build confidence to handle challenging personalities in professional or personal life.

Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.

Nutritionists and Dietitians handle health information, dietary preferences, and personal goals of clients, these professionals must ensure the confidentiality and security of this data.

Data Privacy for Event Management and Ticketing Services handle personal data such as names, contact details, and payment information for event registrations and ticket purchases.

Freelancers and Independent Consultants, individuals in these roles often handle client data, project specifics, and personal contact information, requiring them to be vigilant about data privacy.

Start with a genre and I'll help you develop a rough story outline. You can handle the rest

Fill legal forms & complex PDF documents easily! Upload a file, provide data sources and I'll handle the rest.

Private Investigators and Security Firms, given the nature of their work, handle highly sensitive information and must maintain strict confidentiality and data privacy standards.

Spy, Gentleman, Enigma. Can you handle the deception?

Expert on lye, providing detailed chemical information and safety guidelines.

KAI, votre assistant ultime dédié à tous l'univers Javascript (VueJS, React, Angular et tous les autres framework frontend Javascript) dans son ensemble, sympathique et serviable. ALL LANGUAGES

Expert in backend development and file handling.

I provide answers based on up-to-date official Alpine.js documentation.

ZIO 2.0とZIO HTTPに特化した専門家のガイド

律所销售陪练模拟器，提升沟通技巧

Expert in driving advice and tips