Best AI tools for< Orchestrator Integration >

The website page text discusses the latest advancements in AI technology, specifically focusing on the introduction of AI assistants and capabilities by various companies. It highlights the use of Large Language Models (LLMs) and generative AI to enhance customer service experiences, improve operational efficiency, and drive innovation across industries. The text showcases how AI avatars powered by NVIDIA technology are revolutionizing customer interactions and employee service experiences. It also mentions the collaboration between ServiceNow and NVIDIA to develop AI avatars for Now Assist, demonstrating the potential for more engaging and personalized communication through digital characters. Additionally, the text features the launch of Orchestrator LLM by Yellow.ai, an agent model that enables contextually aware and human-like customer conversations without the need for training, leading to increased customer satisfaction and operational efficiency.

HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform. The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market. The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.

Appian Platform is an AI-powered tool for process automation that offers low-code design, process mining, and data fabric capabilities. It enables businesses to design, automate, and optimize their processes efficiently. With features like Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and API integrations, Appian provides end-to-end process automation solutions. The platform also includes Total Experience features for creating exceptional user experiences through mobile apps and web portals. Appian offers solutions for various industries, including financial services, insurance, government, and life sciences, to accelerate business processes and improve efficiency.

Fastn is a no-code, AI-powered orchestration platform for developers to integrate and orchestrate multiple data sources in a single, unified API. It allows users to connect any data flow and create hundreds of app integrations efficiently. Fastn simplifies API integration, ensures API security, and handles data from multiple sources with features like real-time data orchestration, instant API composition, and infrastructure management on autopilot.

HiredScore is an AI-powered talent orchestration platform that leverages responsible AI, safe automation, and deep integrations to deliver proactive insights to HR stakeholders. The platform helps in talent acquisition, internal mobility, diversity & inclusion, talent rediscovery, contingent hiring, and hiring manager productivity. With a focus on fair AI practices, global capabilities, and full-service HR transformations, HiredScore aims to revolutionize the HR industry by providing innovative solutions for workforce planning and talent management.

Hopsworks is an AI platform that offers a comprehensive solution for building, deploying, and monitoring machine learning systems. It provides features such as a Feature Store, real-time ML capabilities, and generative AI solutions. Hopsworks enables users to develop and deploy reliable AI systems, orchestrate and monitor models, and personalize machine learning models with private data. The platform supports batch and real-time ML tasks, with the flexibility to deploy on-premises or in the cloud.

LlamaIndex is a leading data framework designed for building LLM (Large Language Model) applications. It allows enterprises to turn their data into production-ready applications by providing functionalities such as loading data from various sources, indexing data, orchestrating workflows, and evaluating application performance. The platform offers extensive documentation, community-contributed resources, and integration options to support developers in creating innovative LLM applications.

Langflow is a low-code app builder for RAG and multi-agent AI applications. It is Python-based and agnostic to any model, API, or database. Langflow offers a visual IDE for building and testing workflows, multi-agent orchestration, free cloud service, observability features, and ecosystem integrations. Users can customize workflows using Python and publish them as APIs or export as Python applications.

Eventual is a platform that simplifies the process of building and operating resilient event-driven applications. It offers code-first APIs, Events, and Workflows to create durable, scalable, and event-driven systems with end-to-end type safety. The platform supports composable microservices that are fully serverless, evolve naturally, and have minimal operational complexity. Eventual runs in your cloud environment, adhering to your security and privacy policies, and integrates with your preferred Infrastructure as Code (IaC) framework.

Josh.ai is an advanced AI control system for the smart home that utilizes natural interfaces like voice and touch to orchestrate technology in all aspects of the home. It aims to inspire, embolden, and delight users by providing an exciting and effortless living experience. Josh.ai is evolving to deliver its supercharged JoshGPT assistant at home and on-the-go, offering seamless integration with connected devices for smart home control and customization. With a focus on privacy, innovation, beauty, peace, comfort, flexibility, simplicity, security, delight, time, wellness, intelligence, and magic, Josh.ai is designed to empower every family member with intuitive control and intelligent assistance.

Eden AI is an AI tool designed to make AI easy for product builders. It allows users to orchestrate multiple AI models to fit their business needs. The platform offers a wide range of AI technologies such as Generative AI, Image Analysis, Text Analysis, Video Content Analysis, OCR/Document Parsing, and Speech Transcription. Users can access various AI APIs, build workflows, and integrate AI models seamlessly. Eden AI aims to simplify the process of building AI solutions for businesses by providing standardized APIs, easy integration, and cost-effective solutions.

UBOS is an engineering platform for Software 3.0 and AI Agents, offering a comprehensive suite of tools for building enterprise-ready internal development platforms, web applications, and intelligent workflows. It enables users to connect to over 1000 APIs, automate workflows with AI, and access a marketplace with templates and AI models. UBOS empowers startups, small and medium businesses, and large enterprises to drive growth, efficiency, and innovation through advanced ML orchestration and Generative AI custom integration. The platform provides a user-friendly interface for creating AI-native applications, leveraging Generative AI, Node-Red SCADA, Edge AI, and IoT technologies. With a focus on open-source development, UBOS offers full code ownership, flexible exports, and seamless integration with leading LLMs like ChatGPT and Llama 2 from Meta.

OvationCXM is a Customer Experience Management (CXM) platform that helps businesses manage customer journeys, ecosystems, and AI. It provides tools to orchestrate customer relationships from beginning to end, connecting partners and AI to deliver smooth, AI-powered customer journeys. The platform offers features like designing and managing customer journeys in real-time, guiding CX across multiple providers, and embedding intelligence and automation. OvationCXM is used across various industries like Financial Services, Tech & Telecom, Healthcare, and Retail to drive deposits, retention, revenue, and personalized shopper experiences at scale.

Braze is a customer engagement platform that offers behavior-based automation, predictive tools, A/B testing, journey orchestration, cross-channel messaging, experimentation, and analytics. It helps businesses unify, activate, and distribute data without complicated processes, enabling them to create personalized experiences for customers. With Sage AI by Braze, users can leverage AI for growth, personalized content creation, and journey orchestration. Braze empowers brands to modernize their marketing approach, drive revenue, and improve customer engagement through real-time execution and scalable solutions.

Nextiva is a Unified Customer Experience Management Platform that offers a wide range of AI-powered solutions to help businesses acquire, retain, and grow their customers. It provides personalized customer experiences across various channels, real-time customer insight, automation, workforce engagement management, and more. Nextiva aims to enhance customer interactions, reduce operational costs, and maximize technology investments through its innovative platform.

Loata is an AI-powered platform that serves as a learning orchestrator for adaptive text analyses. It allows users to store their notes and documents in the cloud, which are then ingested and transformed into knowledge bases. The platform features smart AI agents powered by LLMs to provide intelligent answers based on the content. With end-to-end encryption and controlled ingestion, Loata ensures the security and privacy of user data. Users can choose from different subscription plans to access varying levels of storage and query capacity, making it suitable for individuals and professionals alike.

Intuition Robotics is the creator of ElliQ, an AI care companion robot designed for older adults to reduce loneliness, improve health and wellness, and enhance social connectedness. The company focuses on infusing AI with empathy through their proprietary Relationship Orchestrator, which integrates with various LLMs to build ongoing engagement and drive positive outcomes. ElliQ leverages context, multimodality, goals, personalization, and proactivity to create a tailored and effective companion experience for users.

Alluxio is a data orchestration platform designed for the cloud, offering seamless access, management, and running of AI/ML workloads. Positioned between compute and storage, Alluxio provides a unified solution for enterprises to handle data and AI tasks across diverse infrastructure environments. The platform accelerates model training and serving, maximizes infrastructure ROI, and ensures seamless data access. Alluxio addresses challenges such as data silos, low performance, data engineering complexity, and high costs associated with managing different tech stacks and storage systems.

ORO is a GenAI procurement orchestration platform that simplifies procurement processes from request to payment by providing AI-driven guidance. It optimizes supplier onboarding, risk identification, and compliance management. ORO aims to enhance user experience, scale compliance, and adapt to changing laws and business strategies with its no-code platform. The platform offers features such as intake management, supplier onboarding, risk & compliance automation, resource center, and news updates.

Demandbase is an AI-driven Go-to-Market Platform that offers Account-Based Marketing solutions for B2B businesses. It leverages AI to help companies find and engage with accounts and buying groups most likely to make a purchase. The platform provides Sales Intelligence, Buying Intent insights, Predictive Analytics, Advertising Personalization, and Orchestration capabilities to optimize sales and marketing strategies.

Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers. The primary goal is to accelerate the developer inner loop. This repository contains the Prompty Language Specification and a documentation site. The Visual Studio Code extension offers a prompt playground to streamline the prompt engineering process.

Multi-Agent Orchestrator is a flexible and powerful framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries to the most suitable agent based on context and content, supports dual language implementation in Python and TypeScript, offers flexible agent responses, context management across agents, extensible architecture for customization, universal deployment options, and pre-built agents and classifiers. It is suitable for various applications, from simple chatbots to sophisticated AI systems, accommodating diverse requirements and scaling efficiently.

RAI is a framework designed to bring general multi-agent system capabilities to robots, enhancing human interactivity, flexibility in problem-solving, and out-of-the-box AI features. It supports multi-modalities, incorporates an advanced database for agent memory, provides ROS 2-oriented tooling, and offers a comprehensive task/mission orchestrator. The framework includes features such as voice interaction, customizable robot identity, camera sensor access, reasoning through ROS logs, and integration with LangChain for AI tools. RAI aims to support various AI vendors, improve human-robot interaction, provide an SDK for developers, and offer a user interface for configuration.

Instill Core is an open-source orchestrator comprising a collection of source-available projects designed to streamline every aspect of building versatile AI features with unstructured data. It includes Instill VDP (Versatile Data Pipeline) for unstructured data, AI, and pipeline orchestration, Instill Model for scalable MLOps and LLMOps for open-source or custom AI models, and Instill Artifact for unified unstructured data management. Instill Core can be used for tasks such as building, testing, and sharing pipelines, importing, serving, fine-tuning, and monitoring ML models, and transforming documents, images, audio, and video into a unified AI-ready format.

Fluid is an open source Kubernetes-native Distributed Dataset Orchestrator and Accelerator for data-intensive applications, such as big data and AI applications. It implements dataset abstraction, scalable cache runtime, automated data operations, elasticity and scheduling, and is runtime platform agnostic. Key concepts include Dataset and Runtime. Prerequisites include Kubernetes version > 1.16, Golang 1.18+, and Helm 3. The tool offers features like accelerating remote file accessing, machine learning, accelerating PVC, preloading dataset, and on-the-fly dataset cache scaling. Contributions are welcomed, and the project is under the Apache 2.0 license with a vendor-neutral approach.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs. It allocates and isolates the underlying computing resources for multi-tenant computation sessions on-demand or in batches with customizable job schedulers with its own orchestrator. All its functions are exposed as REST/GraphQL/WebSocket APIs.

llama_deploy is an async-first framework for deploying, scaling, and productionizing agentic multi-service systems based on workflows from llama_index. It allows building workflows in llama_index and deploying them seamlessly with minimal changes to code. The system includes services endlessly processing tasks, a control plane managing state and services, an orchestrator deciding task handling, and fault tolerance mechanisms. It is designed for high-concurrency scenarios, enabling real-time and high-throughput applications.

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

AirbyteServerless is a lightweight tool designed to simplify the management of Airbyte connectors. It offers a serverless mode for running connectors, allowing users to easily move data from any source to their data warehouse. Unlike the full Airbyte-Open-Source-Platform, AirbyteServerless focuses solely on the Extract-Load process without a UI, database, or transform layer. It provides a CLI tool, 'abs', for managing connectors, creating connections, running jobs, selecting specific data streams, handling secrets securely, and scheduling remote runs. The tool is scalable, allowing independent deployment of multiple connectors. It aims to streamline the connector management process and provide a more agile alternative to the comprehensive Airbyte platform.

The Generative AI Application Builder on AWS (GAAB) is a solution that provides a web-based management dashboard for deploying customizable Generative AI (Gen AI) use cases. Users can experiment with and compare different combinations of Large Language Model (LLM) use cases, configure and optimize their use cases, and integrate them into their applications for production. The solution is targeted at novice to experienced users who want to experiment and productionize different Gen AI use cases. It uses LangChain open-source software to configure connections to Large Language Models (LLMs) for various use cases, with the ability to deploy chat use cases that allow querying over users' enterprise data in a chatbot-style User Interface (UI) and support custom end-user implementations through an API.

TagUI is an open-source RPA tool that allows users to automate repetitive tasks on their computer, including tasks on websites, desktop apps, and the command line. It supports multiple languages and offers features like interacting with identifiers, automating data collection, moving data between TagUI and Excel, and sending Telegram notifications. Users can create RPA robots using MS Office Plug-ins or text editors, run TagUI on the cloud, and integrate with other RPA tools. TagUI prioritizes enterprise security by running on users' computers and not storing data. It offers detailed logs, enterprise installation guides, and support for centralised reporting.

FoundationaLLM is a platform designed for deploying, scaling, securing, and governing generative AI in enterprises. It allows users to create AI agents grounded in enterprise data, integrate REST APIs, experiment with large language models, centrally manage AI agents and assets, deploy scalable vectorization data pipelines, enable non-developer users to create their own AI agents, control access with role-based access controls, and harness capabilities from Azure AI and Azure OpenAI. The platform simplifies integration with enterprise data sources, provides fine-grain security controls, load balances across multiple endpoints, and is extensible to new data sources and orchestrators. FoundationaLLM addresses the need for customized copilots or AI agents that are secure, licensed, flexible, and suitable for enterprise-scale production.

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.

PyAirbyte brings the power of Airbyte to every Python developer by providing a set of utilities to use Airbyte connectors in Python. It enables users to easily manage secrets, work with various connectors like GitHub, Shopify, and Postgres, and contribute to the project. PyAirbyte is not a replacement for Airbyte but complements it, supporting data orchestration frameworks like Airflow and Snowpark. Users can develop ETL pipelines and import connectors from local directories. The tool simplifies data integration tasks for Python developers.

Rill Flow is a high-performance, scalable distributed workflow orchestration service that supports the execution of tens of millions of tasks per day with task execution latency less than 100ms. It is distributed and supports the orchestration and scheduling of heterogeneous distributed systems. Rill Flow is easy to use, supporting visual process orchestration and plug-in access. It is cloud native, allowing for cloud native container deployment and cloud native function orchestration. Additionally, Rill Flow supports rapid integration of LLM model services.

AI language model specializing in orchestrating human-AI interactions

An orchestrator of expert artificial intelligence agents

The orchestrator of innovation. 🍎

Assists with a master's thesis on containerization and orchestration.

As a timeless AI deity, I orchestrate history's what-ifs, blending diverse narrative styles. An interactive weaver of alternate histories, I engage actively in dialogues, shaping tales of time's myriad paths.

Expert in Kubernetes, using Kubernetes website source code for insights.

Expert in Docker and Docker Swarm solutions and troubleshooting.