Introducing AI Agent Workbench
Interactive AI Agents
Quickpath AI Agent Workbench is our SaaS solution to Experiment, Build and Deploy AI Agents in minutes. With the AI Workbench you can evaluate multiple LLMs, enrich results using public and custom AI tools and deploy interactive, triggered and automated AI Agents. And if you need more power, you can step up to the full Quickpath Platform .
Easily experiment, build and deploy AI Agents using the models, tools and systems you use everyday
Build real-time generative AI products
The Quickpath AI Agent Workbench is the quickest way to build and deploy generative AI products. Using the Experimientation workbench you can test your agents across multiple LLMs, leverage multiple public and custom AI tools and, unlike other no-code AI Agent builders, your agents tools and actions are also intelligent.
Using natural language you can describe the actions you want and the data needed for those actions and the Quickpath Agent Builder will create complex, optimized and scalable agents that can be deployed as an API, embeddable code or as a streamlit app. Additionally, you will be able to see the performance, cost and entire decision flow right from the Experimentation Workbench and view and optimize your AI Agent Blueprint. Oh, and everything is versioned and can easily be rolled back making deployment even more manageable.
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Interactive Generative AI Agents
Deliver LLM assisted co-pilot solutions based on proprietary and contextual company data.
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Orchestrated AI Processes
Optimize business operations by turning contextual data into the real-time action using multiple AI Agents and traditional AI Models.
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Autonomous AND Intelligent AI Agents
Create real-time AI Agents that allow your organization and resources to scale.
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Managed Knowledge Stores
Built in document loaders and vectorstores allow more relevant and accurate results for you AI data products.
How it works
Connect
Use prebuilt connectors to instantly connect your AI Agent to your data stores, knowledge stores, business applications and custom and open LLMs.
Access data and events via APIs and event streams. Configure vector and memory data stores to enhance your agent with proprietary knowledge.
Create new connectors for internal or 3rd party applications and combine connectors in to custom skills that carry out complex tasks and actions.
Experiment
Start your Agent experimentation and access the data available through your connectors using natural language.
No need to write SQL, Python or scripts to utilize your data and no need to create an explicit flow for your agent. The Quickpath Agent Builder, will generate the necessary queries to access your connected data, enhance and personalize your results using your knowledge stores and leverage your configured LLMs to return your results in the correct voice and format.
The Experimentation Workbench allows you to see the steps taken, the "thought process" of the agent and the execution time across all connections to create the answers to your requests. You can even easiliy compare and contrast the results and performance across multiple LLMs
Deploy
Once you are happy with your agent results, deploy your agent as an API, streamlit app or as an autonomous process that is listening for or triggered by external events.
