Best AI tools for< Integrate Genai Projects >

OpenLIT is an AI application designed as an Observability tool for GenAI and LLM applications. It empowers model understanding and data visualization through an interactive Learning Interpretability Tool. With OpenTelemetry-native support, it seamlessly integrates into projects, offering features like fine-tuning performance, real-time data streaming, low latency processing, and visualizing data insights. The tool simplifies monitoring with easy installation and light/dark mode options, connecting to popular observability platforms for data export. Committed to OpenTelemetry community standards, OpenLIT provides valuable insights to enhance application performance and reliability.

Dropzone AI is an award-winning AI application designed to reinforce Security Operations Centers (SOCs) by providing autonomous AI analysts. It replicates the techniques of elite analysts to autonomously investigate alerts, covering various use cases such as phishing, endpoint, network, cloud, identity, and insider threats. The application offers pre-trained AI agents that work alongside human analysts, automating investigation tasks and providing fast, detailed, and accurate reports. With built-in integrations with major security tools, Dropzone AI aims to reduce Mean Time to Respond (MTTR) and allow analysts to focus on addressing real threats.

Fluid AI is an Enterprise Generative AI Solution Platform that offers advanced capabilities for Enterprise use-cases. It leverages organizational knowledge to function as an intelligent agent, supporting teams with easy access to precise answers, insights, reports, and creativity. The platform automates conversations across channels, enhances speed, accuracy, and scalability, and maintains personalized interactions. Fluid AI can integrate seamlessly with legacy systems, ensuring efficient AI adoption with Enterprise-level security.

The website offers a Synthetic Data Generation platform with the highest accuracy for free. It provides detailed information on synthetic data, data anonymization, and features a Python Client for data generation. The platform ensures privacy and security, allowing users to create fully anonymous synthetic data from original data. It supports various AI/ML use cases, self-service analytics, testing & QA, and data sharing. The platform is designed for Enterprise organizations, offering scalability, privacy by design, and the world's most accurate synthetic data.

Puppeteer is an AI application that offers Gen AI Nurses to empower patient support in healthcare. It addresses staffing shortages and enhances access to quality care through personalized and human-like patient experiences. The platform revolutionizes patient intake with features like mental health companions, virtual assistants, streamlined data collection, and clinic customization. Additionally, Puppeteer provides a comprehensive solution for building conversational bots, real-time API and database integrations, and personalized user experiences. It also offers a chatbot service for direct patient interaction and support in psychological help-seeking. The platform is designed to enhance healthcare delivery through AI integration and Large Language Models (LLMs) for modern medical solutions.

CONVA is a platform that allows developers to add voice-first AI copilot functionality to their mobile and web apps. It provides natural, multilingual, and multimodal conversational AI experiences for app users. CONVA's voice copilot can help users with tasks such as product discovery, search, navigation, and recommendations. It is easy to integrate and can be used across multiple platforms, including iOS, Android, Flutter, React, Web, and Shopify. CONVA also offers pre-trained category-specific voice copilot, cross-platform availability, multilingual support, demand insights, and a full-stack solution for voice and text-driven search, action, navigation, and recommendations.

Super AI is a generative AI tool designed as a copilot for data analysts. It is trained by top-tier product company experts and domain experts to provide unparalleled expertise in research, visualization, and data delivery. The tool goes beyond data processing by generating a comprehensive Business Decision Canvas tailored to specific challenges. Super AI offers guided insights, data modeling suggestions, and effortless integration with legacy BI systems. It is designed to convert business requirements into concrete objectives and is supported by a team of domain experts to mentor the AI. With applications in various industries, Super AI accelerates the process of finding business KPIs and generating data stories with expert intelligence.

Quivr is an open-source chat-powered second brain application that transforms private and enterprise knowledge into a personal AI assistant. It continuously learns and improves at every interaction, offering AI-powered workplace search synced with user data. Quivr allows users to connect with their favorite tools, databases, and applications, and configure their 'second brain' to train on their company's unique context for improved search relevance and knowledge discovery.

Hidden Layers AI is a consultancy and training company specializing in Generative AI for businesses. They offer services such as AI training, business assessments, and implementation to help organizations harness the power of AI efficiently. The company stands out for its expertise in seamlessly integrating GenAI and LLM technologies, empowering workforce with GenAI capabilities, and crafting efficient GenAI workflows. Hidden Layers AI provides customized training programs for all levels and departments, ensuring practical AI skills development. They also offer a range of AI solutions from basic implementation to full-scale transformation, with a focus on user adoption, risk management, and ongoing support.

HappyLoop is an AI tool that allows SaaS users to embed their own AI Analyst into their products. It provides real-time AI analysis inside the product, enabling users to access data instantly, break down silos, generate reports quickly, and receive actionable recommendations. HappyLoop has been praised for modernizing products, improving user retention, increasing revenue, streamlining workflows, and enhancing user engagement. The tool aims to solve the problem of users struggling to make sense of their data by turning data into decisions instantly. It offers features like real-time insights, advanced reporting, conversational actions, personalized UIs, secure & compliant data handling, and GenAI capabilities.

VecRank is an AI-powered Vector Search and Reranking API service that leverages cutting-edge GenAI technologies to enhance natural language understanding and contextual relevance. It offers a scalable, AI-driven search solution for software developers and business owners. With VecRank, users can revolutionize their search capabilities with the power of AI, enabling seamless integration and powerful tools that scale with their business needs. The service allows for bulk data upload, incremental data updates, and easy integration into various programming languages and platforms, all without the hassle of setting up infrastructure for embeddings and vector search databases.

Scale AI is an AI tool that accelerates the development of AI applications for enterprise, government, and automotive sectors. It offers Scale Data Engine for generative AI, Scale GenAI Platform, and evaluation services for model developers. The platform leverages enterprise data to build sustainable AI programs and partners with leading AI models. Scale's focus on generative AI applications, data labeling, and model evaluation sets it apart in the AI industry.

Cloobot X is a Gen-AI-powered implementation studio that accelerates the deployment of enterprise applications with fewer resources. It leverages natural language processing to model workflow automation, deliver sandbox previews, configure workflows, extend functionalities, and manage versioning & changes. The platform aims to streamline enterprise application deployments, making them simple, swift, and efficient for all stakeholders.

Portkey is a monitoring and improvement tool for Gen AI apps, helping teams enhance cost, performance, and accuracy. It integrates quickly, monitors LLM requests, and boosts app resilience, security, performance, and accuracy. The tool offers a product walkthrough and easy integration with OpenAI Python and Node libraries.

Vodex is an AI-powered lead qualification tool that uses Generative AI to make outbound phone calls to qualify leads instantly. The tool ensures you engage only with high-quality prospects, boosting business efficiency and success. Vodex can make 10,000 calls in less than 60 minutes, integrates into existing CRM systems, and can send WhatsApp or text messages. With Vodex, businesses can maximize their potential, reduce costs, and turn prospects into customers faster.

Protecto is an Enterprise AI Data Security & Privacy Guardrails application that offers solutions for protecting sensitive data in AI applications. It helps organizations maintain data security and compliance with regulations like HIPAA, GDPR, and PCI. Protecto identifies and masks sensitive data while retaining context and semantic meaning, ensuring accuracy in AI applications. The application provides custom scans, unmasking controls, and versatile data protection across structured, semi-structured, and unstructured text. It is preferred by leading Gen AI companies for its robust and cost-effective data security solutions.

Pinecone is a vector database that helps power AI for the world's best companies. It is a serverless database that lets you deliver remarkable GenAI applications faster, at up to 50x lower cost. Pinecone is easy to use and can be integrated with your favorite cloud provider, data sources, models, frameworks, and more.

Typeface is a multimodal content hub built for enterprise growth. It is an enterprise-grade platform that provides access to the latest and best Generative AI (GenAI) models for all content types. Typeface also offers deep brand personalization, integrated workflows, and secure content ownership. With Typeface, businesses can boost their content output, transform existing material, and personalize content at scale.

PredictOPs is an advanced AIOps platform powered by Gen-AI technology, redefining Operations Management with cutting-edge solutions. The platform offers real-time monitoring, actionable insights, alert correlation, microservice management, anomaly detection, and infrastructure log behavior analysis. It leverages adaptive algorithms and early warning systems to provide proactive solutions for failure rate analysis and trend identification. PredictOPs is scalable, reliable, and integrates Gen-AI for cognitive insights beyond traditional AIOps capabilities.

Waanee.ai is a leading AI solution for contact centers, offering a range of AI-powered tools and solutions to transform customer conversations. It provides services such as AI-powered conversation audit, cloud contact center with built-in CRM, intelligent virtual agents, and more. Waanee.ai aims to enhance customer engagement and satisfaction by leveraging advanced AI technology to optimize customer interactions and streamline operational processes.

Director is a framework to build video agents that can reason through complex video tasks like search, editing, compilation, generation, etc. It enables users to summarize videos, search for specific moments, create clips instantly, integrate GenAI projects and APIs, add overlays, generate thumbnails, and more. Built on VideoDB's 'video-as-data' infrastructure, Director is perfect for developers, creators, and teams looking to simplify media workflows and unlock new possibilities.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just **a single line of code**. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

Awesome Generative AI & LLM APIs is a curated list of useful APIs that allow developers to integrate generative models into their applications without building the models from scratch. These APIs provide an interface for generating text, images, or other content, and include pre-trained language models for various tasks. The goal of this project is to create a hub for developers to create innovative applications, enhance user experiences, and drive progress in the AI field.

The oneAPI-samples repository contains a collection of samples for the Intel oneAPI Toolkits. These samples cover various topics such as AI and analytics, end-to-end workloads, features and functionality, getting started samples, Jupyter notebooks, direct programming, C++, Fortran, libraries, publications, rendering toolkit, and tools. Users can find samples based on expertise, programming language, and target device. The repository structure is organized by high-level categories, and platform validation includes Ubuntu 22.04, Windows 11, and macOS. The repository provides instructions for getting samples, including cloning the repository or downloading specific tagged versions. Users can also use integrated development environments (IDEs) like Visual Studio Code. The code samples are licensed under the MIT license.

The Generative AI Use Cases Repository showcases a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.

cassIO is a framework-agnostic Python library that seamlessly integrates Apache Cassandra with ML/LLM/genAI workloads. It provides an easy-to-use interface for developers to connect their Cassandra databases to machine learning models, allowing them to perform complex data analysis and AI-powered tasks directly on their Cassandra data. cassIO is designed to be flexible and extensible, making it suitable for a wide range of use cases, from data exploration and visualization to predictive modeling and natural language processing.

A curated list of Generative AI projects, tools, artworks, and models

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.

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

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

ClearML is a suite of tools designed to streamline the machine learning workflow. It includes an experiment manager, MLOps/LLMOps, data management, and model serving capabilities. ClearML is open-source and offers a free tier hosting option. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm. ClearML provides extensive logging capabilities, including source control info, execution environment, hyper-parameters, and experiment outputs. It also offers automation features, such as remote job execution and pipeline creation. ClearML is designed to be easy to integrate, requiring only two lines of code to add to existing scripts. It aims to improve collaboration, visibility, and data transparency within ML teams.

Mastering GitHub Copilot for AI Paired Programming is a comprehensive course designed to equip you with the skills and knowledge necessary to harness the power of GitHub Copilot, an AI-driven coding assistant. Through a series of engaging lessons, you will learn how to seamlessly integrate GitHub Copilot into your workflow, leveraging its autocompletion, customizable features, and advanced programming techniques. This course is tailored to provide you with a deep understanding of AI-driven algorithms and best practices, enabling you to enhance code quality and accelerate your coding skills. By embracing the transformative power of AI paired programming, you will gain the tools and confidence needed to succeed in today's dynamic software development landscape.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

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.

The 'Generative AI' repository provides a C# library for interacting with Google's Generative AI models, specifically the Gemini models. It allows users to access and integrate the Gemini API into .NET applications, supporting functionalities such as listing available models, generating content, creating tuned models, working with large files, starting chat sessions, and more. The repository also includes helper classes and enums for Gemini API aspects. Authentication methods include API key, OAuth, and various authentication modes for Google AI and Vertex AI. The package offers features for both Google AI Studio and Google Cloud Vertex AI, with detailed instructions on installation, usage, and troubleshooting.

The 'Generative AI with JavaScript' repository is a comprehensive resource hub for JavaScript developers interested in delving into the world of Generative AI. It provides code samples, tutorials, and resources from a video series, offering best practices and tips to enhance AI skills. The repository covers the basics of generative AI, guides on building AI applications using JavaScript, from local development to deployment on Azure, and scaling AI models. It is a living repository with continuous updates, making it a valuable resource for both beginners and experienced developers looking to explore AI with JavaScript.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

Advanced RAG Techniques is a comprehensive collection of cutting-edge Retrieval-Augmented Generation (RAG) tutorials aimed at enhancing the accuracy, efficiency, and contextual richness of RAG systems. The repository serves as a hub for state-of-the-art RAG enhancements, comprehensive documentation, practical implementation guidelines, and regular updates with the latest advancements. It covers a wide range of techniques from foundational RAG methods to advanced retrieval methods, iterative and adaptive techniques, evaluation processes, explainability and transparency features, and advanced architectures integrating knowledge graphs and recursive processing.

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.

Helps integrate smart devices into home environments, ensuring ease of use and energy efficiency.

I integrate materials into clear news reports.

I analyze and integrate missing clusters in data for coherent structuring.

I will help you to integrate the popular distributed event streaming platform Apache Kafka into your own cloud solutions.

A guide for habit stacking, offering creative ways to integrate new habits.

Optimize your business with sustainable practices! ESG Strategy Navigator helps integrate Environmental, Social, Governance (ESG) factors into corporate strategy, ensuring compliance, ethical impact, and value creation. 🌟

Geneate an image ➡ Request modifications. This GPT supports generating consistent and continuous images with Dalle. It also offers the ability to restore or integrate photos you upload. ✔️Where to use: Wordpress Blog Post, Youtube thumbnail, AI profile, facebook, X, threads feed, Instagram reels

GPT created by Max Del Rosso for SEO optimization, specialized in identifying internal linking opportunities. Through the review of existing content, it suggests targeted changes to integrate effective anchor texts, contributing to improving SERP rankings and user experience.

Create, Customize, and Track Stunning QR Codes Art with Our Free QR Code AI Art Generator. Seamlessly integrate these artistic codes into your marketing materials, packaging, and digital platforms.

Creates educational flashcards and integrates with Anki.

AI Integration Specialist

Expert in AiOS integration, technical troubleshooting, and IP rights management.

Flutter & Firebase dev assistant

A Setun-70 simulator with modern API integration.

I help craft GPT actions & OpenAPI's

Comprehensive resource for integrating security into the software development lifecycle.

OpenAPI schema generator for GPT integrations

Assists in creating OpenAPI schemas for GPT.

Senior Odoo Engineer and OCA (Odoo Community Association) expert, advising on Odoo modules and solutions.

Assists with web3 design, focusing on UI/UX and smart contract integration.