Tasking AI is an AI-native application development platform that enables users to build, manage, and deploy AI assistants and applications efficiently. It offers a unified interface for accessing multiple AI models, workflow testing, and scalable deployment via APIs and SDKs.

What features does Tasking AI offer?

Tasking AI offers an All-in-One LLM Platform providing access to hundreds of AI models through unified APIs, an Intuitive UI Console that simplifies project management and workflow testing, and a BaaS-Inspired Workflow that separates AI logic server-side from product development client-side, supporting progression from prototyping to scalable solutions. It also includes Customizable Assistants for creating AI agents for various tasks like customer service, internal training, or document retrieval, along with Plugins and Actions to integrate with external APIs and tools for enhanced functionality. Furthermore, it supports Document Retrieval to query and interact with your own documents easily, and an OpenAI-Compatible API facilitates seamless migration and integration with existing projects.

How do I create an assistant in Tasking AI?

To create an assistant in Tasking AI, first log in to the platform, then click on "New Assistant." Next, provide a name and description for your assistant, and select the desired language model. Customize the assistant with system prompts and enable features like memory or document retrieval. Finally, test and deploy your assistant using the console or API.

Can I use my own AI models with Tasking AI?

Yes, Tasking AI supports integration with various AI models, including those from OpenAI, Claude, Mistral, Groq, and more. You can connect your API keys and use these models within the platform.

How do I interact with my assistant via API?

To interact with your assistant via API, you should first import the required AI modules, then provide the model ID to specify your chosen language model. After that, define a chat completion task and pass your model ID and input message, and finally, run the code to interact with your assistant.

What is Retrieval Augmented Generation (RAG) in Tasking AI?

RAG allows your assistant to retrieve relevant information from your documents or databases and generate responses based on that data. This feature is useful for creating knowledge assistants or chatbots that can answer questions about specific topics.

Is Tasking AI open source?

Tasking AI offers both a cloud-based platform and an open-source version, allowing users to build applications and chatbots with flexibility and ease.

Where can I find more help or support?

For more help or support, you can visit the Tasking AI Forum for FAQs and community discussions, check the official documentation for detailed guides and tutorials, or reach out to the support team for technical issues or specific inquiries.

Are there any risks associated with using generative AI in Tasking AI?

Tasking AI addresses risks related to AI-generated content, such as biased or misleading outputs, through policies and procedures for ethical use, monitoring, auditing, and human oversight mechanisms.

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Tasking AI

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Tasking AI is a platform that helps you easily create and manage AI assistants and applications. You can use many different AI models, integrate your own data, and add special tools or actions, all from an easy-to-use cloud-based or open-source system.

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About Tasking AI

Who It's For

Tasking AI helps anyone build AI assistants and applications, whether new to AI or experienced. It’s ideal for creating chatbots that use your own documents to answer questions, or making custom AI tools for tasks like customer service and training. It’s available as a ready cloud platform or an open-source option.

What You Get

You get a complete platform to build smart AI. It offers many popular AI models and features like memory, document retrieval (RAG), and plugins for extra actions. This all-in-one system simplifies managing, testing, and deploying your AI apps.

How It Works

Just log in and create your AI assistant. Name it, describe it, and choose its AI model. Customize with prompts and enable features like remembering conversations or searching your documents. You can then easily test and launch your AI assistant using the platform or its API.

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Features & Capabilities

🚀 AI Development Platform

AI-Native App Development

Enables rapid creation of AI applications and assistants in a cloud-based environment.

Multi-Model Support

Offers unparalleled flexibility by supporting a wide range of Large Language Models (LLMs) from various providers.

Open-Source Framework

Provides an open-source solution for building AI applications and powerful LLM chatbots.

No-Code & Cloud-Based

Simplifies AI development with a no-code approach and instant-use cloud deployment.

🧠 Advanced AI Capabilities

Retrieval Augmented Generation (RAG)

Allows AI assistants to effortlessly integrate and utilize your custom data for enhanced responses.

Conversational Memory

Equips AI agents with the ability to remember past interactions for more coherent and contextual conversations.

Plugins & Actions

Extends AI assistant functionality through seamless integration of custom tools and actions.

🛠️ Developer Tools & Flexibility

LLM Backend Playground

Provides a dedicated environment for testing and iterating on LLM-based backends.

Python SDK

Offers a Python Software Development Kit for easily building sophisticated LLM applications.

Multi-Tenant Applications

Supports the creation of scalable, GPTs-like multi-tenant AI applications.

Use Cases

Rapidly Building & Deploying Custom AI Assistants

Developers and businesses often face challenges in quickly creating and deploying AI-powered chatbots for various needs like customer service or internal knowledge. Tasking AI simplifies this by offering an intuitive, multi-model platform with RAG and pre-built tools, enabling fast prototyping and deployment of tailored AI assistants without complex infrastructure setup.

B2B SaaSFor: AI Developers

Enhancing Applications with Data-Driven AI Agents

Many organizations want to embed intelligent agents into their existing applications that can interact with proprietary data sources to provide more accurate and context-aware responses. Tasking AI provides a powerful platform with Retrieval Augmented Generation (RAG), plugins, and unified API access to multiple LLMs, allowing developers to easily build and integrate AI agents that leverage their specific documents and tools.

Enterprise SoftwareFor: Software Engineers

Scalable Development and Management of AI-Native Applications

Building AI applications often involves complex transitions from prototyping to scalable, production-ready systems, including managing different LLMs, ensuring performance, and integrating into existing workflows. Tasking AI offers a BaaS-inspired workflow, robust APIs, SDKs, and a unified console, enabling engineering teams to efficiently develop, test, and deploy AI-native applications that can scale to meet enterprise demands.

Software DevelopmentFor: Engineering Leaders

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Tasking AI

4.6

• 121 views

Visit Website

Free Option

Overview Features Use Cases FAQ Integrations Pricing