Best AI tools for< Integrate With Backend >

Netomi is an AI-powered conversational AI platform that revolutionizes customer experience by providing proactive and automated customer care across various channels. It offers industry-leading enterprise-ready AI solutions, including sanctioned generative AI, goal-driven AI, and federated knowledge access. Netomi enables businesses to quickly respond to customer needs, increase resolution rates, and reduce support costs. The platform integrates seamlessly with existing systems, providing real-time omnichannel intelligence and security-first architecture for data privacy and security.

Backend.AI is an enterprise-scale cluster backend for AI frameworks that offers scalability, GPU virtualization, HPC optimization, and DGX-Ready software products. It provides a fast and efficient way to build, train, and serve AI models of any type and size, with flexible infrastructure options. Backend.AI aims to optimize backend resources, reduce costs, and simplify deployment for AI developers and researchers. The platform integrates seamlessly with existing tools and offers fractional GPU usage and pay-as-you-play model to maximize resource utilization.

Convex is a fullstack TypeScript development platform that serves as an open-source backend for application builders. It offers a comprehensive set of APIs and tools to build, launch, and scale applications efficiently. With features like real-time collaboration, optimized transactions, and over 80 OAuth integrations, Convex simplifies backend operations and allows developers to focus on delivering value to customers. The platform enables developers to write backend logic in TypeScript, perform database operations with strong consistency, and integrate with various third-party services seamlessly. Convex is praised for its reliability, simplicity, and developer experience, making it a popular choice for modern software development projects.

The Software Engineer Interview Questions Generator is an AI tool that helps software engineers prepare for interviews by generating a wide range of technical questions based on various programming languages, frameworks, and technologies. Users can select specific topics and the number of questions they want to generate, making it a valuable resource for interview preparation. The tool leverages AI technology to provide relevant and challenging questions that cover a diverse set of topics commonly encountered in software engineering interviews.

Reachat is an open-source UI building library for creating chat interfaces in ReactJS. It offers highly customizable components and theming options, rich media support for file uploads and markdown formatting, an intuitive API for building custom chat experiences, and the ability to seamlessly switch between different AI models. Reachat is battle-tested and used in production across various enterprise products. It is a powerful, flexible, and user-friendly AI chat interface library that allows developers to easily integrate conversational AI capabilities into their applications without the need to spend weeks building custom components. Reachat is not tied to any specific backend or LLM, providing the freedom to use it with any backend or LLM of choice.

Rowy is a low-code backend platform that allows users to manage their database on a spreadsheet-like interface and build powerful backend cloud functions without leaving their browser. It offers a variety of features such as derivative fields, action fields, extensions, webhooks, and integrations with popular tools like Google Vision, GPT-3, Figma, and Webflow. Rowy is designed to be accessible to both developers and non-technical users, making it a versatile tool for building and managing backend applications.

Suppa is an AI tool that empowers businesses by providing a platform to design AI backends and customized chatbots without any coding. It allows users to integrate AI into their mobile apps easily and connect to various systems. With multi-source data capabilities and a no-code AI chatbot builder, Suppa simplifies the process of creating powerful AI solutions for businesses.

Koxy AI is an AI-powered serverless back-end platform that allows users to build globally distributed, fast, secure, and scalable back-ends with no code required. It offers features such as live logs, smart errors handling, integration with over 80,000 AI models, and more. Koxy AI is designed to help users focus on building the best service possible without wasting time on security and latency concerns. It provides a No-SQL JSON-based database, real-time data synchronization, cloud functions, and a drag-and-drop builder for API flows.

Works is a platform that connects enterprises with the top 1% of remote tech talent. It uses advanced AI technology to ensure precision-matching of talent to project requirements, saving time and resources. Works offers transparent pricing with a flat 10% transaction fee and provides risk-free hiring with payment only when the work is completed to satisfaction.

React Native Starter AI is an all-in-one development kit designed to help users quickly launch their mobile apps with AI functionality. The boilerplate template includes integrations such as AI tools, Firebase functions, analytics, authentication, in-app purchases, and more. It aims to save developers time by providing pre-built components and screens for building AI mobile applications. With React Native Starter AI, users can easily customize and publish their apps on mobile app stores, catering to both beginner and experienced developers.

Lovable is an AI-powered application that allows users to describe their software ideas in natural language and then automatically transforms them into fully functional applications with beautiful aesthetics. It enables users to build high-quality software without writing a single line of code, making software creation more accessible and faster than traditional coding methods. With features like live rendering, instant undo, beautiful design principles, and seamless GitHub integration, Lovable empowers product builders, developers, and designers to bring their ideas to life effortlessly.

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.

Dify is an open-source platform for building AI applications that combines Backend-as-a-Service and LLMOps to streamline the development of generative AI solutions. It integrates support for mainstream LLMs, an intuitive Prompt orchestration interface, high-quality RAG engines, a flexible AI Agent framework, and easy-to-use interfaces and APIs. Dify allows users to skip complexity and focus on creating innovative AI applications that solve real-world problems. It offers a comprehensive, production-ready solution with a user-friendly interface.

Ariglad is an AI-powered Knowledge Base API designed for support teams to enhance their customer service strategies. It automates the creation and updates of knowledge bases by analyzing support tickets, providing insights for data-driven decisions. The tool offers integrations with various platforms like Slack, Microsoft Teams, and HRIS, enabling teams to confidently lead with strategy backed by people analytics.

AI-DOG is an intelligent partner and creation platform that explores infinite creativity. It offers a range of AI-powered tools to assist users in content creation, website optimization, and marketing. With AI-DOG, users can generate high-quality articles, train AI models, create compelling文案, optimize websites, and produce engaging videos and literary content. The platform seamlessly integrates with website backend systems, enabling automated and intelligent content publishing.

WizyChat is an AI-driven chatbot application that allows users to create custom GPT chatbots trained on their own data. The platform offers a range of features including a visual builder, dynamic responses, AI improvement with every chat, analytics for data-backed decisions, and seamless connectivity with customers. WizyChat caters to various industries such as marketing, sales, support, education, enterprise, and healthcare, enabling users to build chatbots tailored to their specific needs. The application supports over 95 languages and offers personalized onboarding assistance with friendly pricing options. With WizyChat, users can instantly help customers with AI-generated answers, launch AI bots for marketing and sales purposes, and enhance customer support through automation and integration with popular tools.

Ultimate is a customer support automation platform powered by Generative AI. It offers AI-powered chat automation and ticket automation solutions for various industries such as Ecommerce, Financial Services, Travel, Telecommunications, and Healthtech. UltimateGPT is a bot that integrates with help centers to build bots in minutes. The platform provides backend integrations, analytics, and insights to enhance customer support processes and drive business growth.

Echo Labs is an AI-powered platform that provides captioning services for higher education institutions. The platform leverages cutting-edge technology to offer accurate and affordable captioning solutions, helping schools save millions of dollars. Echo Labs aims to make education more accessible by ensuring proactive accessibility measures are in place, starting with lowering the cost of captioning. The platform boasts a high accuracy rate of 99.8% and is backed by industry experts. With seamless integrations and a focus on inclusive learning environments, Echo Labs is revolutionizing accessibility in education.

Store Copilot is an AI-powered shopping assistant that helps brands create personalized customer experiences. It allows businesses to create a branded AI assistant that can answer customer questions, provide product recommendations, and help with other tasks. Store Copilot is designed to be easy to use and integrate with Shopify stores. It is also backed by a team of experts who can help businesses get the most out of the platform.

Nesa is a global blockchain network that brings AI on-chain, allowing applications and protocols to seamlessly integrate with AI. It offers secure execution for critical inference, a private AI network, and a global AI model repository. Nesa supports various AI models for tasks like text classification, content summarization, image generation, language translation, and more. The platform is backed by a team with extensive experience in AI and deep learning, with numerous awards and recognitions in the field.

Home LLM is a project that provides the necessary components to control your Home Assistant installation with a completely local Large Language Model acting as a personal assistant. The goal is to provide a drop-in solution to be used as a "conversation agent" component by Home Assistant. The 2 main pieces of this solution are Home LLM and Llama Conversation. Home LLM is a fine-tuning of the Phi model series from Microsoft and the StableLM model series from StabilityAI. The model is able to control devices in the user's house as well as perform basic question and answering. The fine-tuning dataset is a custom synthetic dataset designed to teach the model function calling based on the device information in the context. Llama Conversation is a custom component that exposes the locally running LLM as a "conversation agent" in Home Assistant. This component can be interacted with in a few ways: using a chat interface, integrating with Speech-to-Text and Text-to-Speech addons, or running the oobabooga/text-generation-webui project to provide access to the LLM via an API interface.

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.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

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BentoVLLM is an example project demonstrating how to serve and deploy open-source Large Language Models using vLLM, a high-throughput and memory-efficient inference engine. It provides a basis for advanced code customization, such as custom models, inference logic, or vLLM options. The project allows for simple LLM hosting with OpenAI compatible endpoints without the need to write any code. Users can interact with the server using Swagger UI or other methods, and the service can be deployed to BentoCloud for better management and scalability. Additionally, the repository includes integration examples for different LLM models and tools.

FastWiki is an enterprise-level artificial intelligence customer service management system. It is a high-performance knowledge base system designed for large-scale information retrieval and intelligent search. Leveraging Microsoft's Semantic Kernel for deep learning and natural language processing, combined with .NET 8 and React framework, it provides an efficient, user-friendly, and scalable intelligent vector search platform. The system aims to offer an intelligent search solution that can understand and process complex queries, assisting users in quickly and accurately obtaining the needed information.

JamAI Base is an open-source platform integrating SQLite and LanceDB databases with managed memory and RAG capabilities. It offers built-in LLM, vector embeddings, and reranker orchestration accessible through a spreadsheet-like UI and REST API. Users can transform static tables into dynamic entities, facilitate real-time interactions, manage structured data, and simplify chatbot development. The tool focuses on ease of use, scalability, flexibility, declarative paradigm, and innovative RAG techniques, making complex data operations accessible to users with varying technical expertise.

This repository provides sample applications and tutorials to showcase the power of Amazon Bedrock with Python. It helps Python developers understand how to harness Amazon Bedrock in building generative AI-enabled applications. The resources also demonstrate integration with vector databases using RAG (Retrieval-augmented generation) and services like Amazon Aurora, RDS, and OpenSearch. Additionally, it explores using langchain and streamlit to create effective experimental applications.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference. It provides a common API to deliver inference solutions on various platforms, including CPU, GPU, NPU, and heterogeneous devices. OpenVINO™ supports pre-trained models from Open Model Zoo and popular frameworks like TensorFlow, PyTorch, and ONNX. Key components of OpenVINO™ include the OpenVINO™ Runtime, plugins for different hardware devices, frontends for reading models from native framework formats, and the OpenVINO Model Converter (OVC) for adjusting models for optimal execution on target devices.

GPTQModel is an easy-to-use LLM quantization and inference toolkit based on the GPTQ algorithm. It provides support for weight-only quantization and offers features such as dynamic per layer/module flexible quantization, sharding support, and auto-heal quantization errors. The toolkit aims to ensure inference compatibility with HF Transformers, vLLM, and SGLang. It offers various model supports, faster quant inference, better quality quants, and security features like hash check of model weights. GPTQModel also focuses on faster quantization, improved quant quality as measured by PPL, and backports bug fixes from AutoGPTQ.

OpenAI-compatible API for TensorRT-LLM and NVIDIA Triton Inference Server, which allows you to integrate with langchain

OpenKF (Open Knowledge Flow) is an online intelligent customer service system. It is an open-source customer service system based on OpenIM, supporting LLM (Local Knowledgebase) customer service and multi-channel customer service. It is easy to integrate with third-party systems, deploy, and perform secondary development. The system provides features like login page, config page, dashboard page, platform page, and session page. Users can quickly get started with OpenKF by following the installation and run instructions. The architecture follows MVC design with a standardized directory structure. The community encourages involvement through community meetings, contributions, and development. OpenKF is licensed under the Apache 2.0 license.

OpenCopilot is a tool that allows users to create their own AI copilot for their products. It integrates with APIs to execute calls as needed, using LLMs to determine the appropriate endpoint and payload. Users can define API actions, validate schemas, and integrate a user-friendly chat bubble into their SaaS app. The tool is capable of calling APIs, transforming responses, and populating request fields based on context. It is not suitable for handling large APIs without JSON transformers. Users can teach the copilot via flows and embed it in their app with minimal code.

OmniChain is a tool for building efficient self-updating visual workflows using AI language models, enabling users to automate tasks, create chatbots, agents, and integrate with existing frameworks. It allows users to create custom workflows guided by logic processes, store and recall information, and make decisions based on that information. The tool enables users to create tireless robot employees that operate 24/7, access the underlying operating system, generate and run NodeJS code snippets, and create custom agents and logic chains. OmniChain is self-hosted, open-source, and available for commercial use under the MIT license, with no coding skills required.

Visionatrix is a project aimed at providing easy use of ComfyUI workflows. It offers simplified setup and update processes, a minimalistic UI for daily workflow use, stable workflows with versioning and update support, scalability for multiple instances and task workers, multiple user support with integration of different user backends, LLM power for integration with Ollama/Gemini, and seamless integration as a service with backend endpoints and webhook support. The project is approaching version 1.0 release and welcomes new ideas for further implementation.

BotSharp is an open-source machine learning framework for building AI bot platforms. It provides a comprehensive set of tools and components for developing and deploying intelligent virtual assistants. BotSharp is designed to be modular and extensible, allowing developers to easily integrate it with their existing systems and applications. With BotSharp, you can quickly and easily create AI-powered chatbots, virtual assistants, and other conversational AI applications.

PandaETL is an open-source, no-code ETL tool designed to extract and parse data from various document types including PDFs, emails, websites, audio files, and more. With an intuitive interface and powerful backend, PandaETL simplifies the process of data extraction and transformation, making it accessible to users without programming skills.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize LLM applications with APIs. It handles tasks like detecting and rejecting jailbreak attempts, calling backend APIs, disaster recovery, and observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and standards-based observability. Arch aims to improve the speed, security, and personalization of generative AI applications.

ChatterUI is a mobile app that allows users to manage chat files and character cards, and to interact with Large Language Models (LLMs). It supports multiple backends, including local, koboldcpp, text-generation-webui, Generic Text Completions, AI Horde, Mancer, Open Router, and OpenAI. ChatterUI provides a mobile-friendly interface for interacting with LLMs, making it easy to use them for a variety of tasks, such as generating text, translating languages, writing code, and answering questions.

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