Make software adoption a breeze with AI Help, which instantly answers user questions and keeps teams focused on their work, not on figuring out the software.
Adopting new software can be frustrating for teams and organizations alike. Complex features and repeated questions can slow teams down, delay results, and waste time. In project management, even small delays can grow into major inefficiencies that create problems which ripple across projects.
That’s where AI Help comes in. Built on Retrieval-Augmented Generation (RAG), it combines the power of large language models (LLMs) with the accuracy of information retrieval systems. This hybrid approach delivers answers to frequently asked questions, like troubleshooting a feature or finding a workflow guide, that are clear, relevant, and based on trusted documentation. With instant guidance built into the software, AI Help keeps teams focused, productive, and confident while making software adoption faster and smoother.
5 Key Capabilities of AI Help:
AI-Powered Assistance, Right at Your Fingertips: The RAG-powered AI Help tool is built right into the toolbar, so that help is always one click away. Whether you're managing complex project timelines or troubleshooting system settings, AI Help provides answers instantly without disrupting your workflow.
Quick Summaries for Faster Decisions: Stop wasting time on dense documentation or endless search results. AI Help delivers clear, concise summaries, so you can get the answers you need and make decisions faster.
Contextual Documentation Access: Understanding why something works can be just as important as finding the answer. AI Help links you directly to the source documentation it references, so you can dive deeper when needed. This transparency builds trust and ensures you always have reliable information.
Flexible Solutions for Complex Problems: Project management challenges do not always have a single answer. AI Help offers multiple options or steps to solve problems, so teams can choose which one works best for their situation.
Enterprise-Ready with LLM Integration: AI Help integrates with any enterprise Large Language Model (LLM), to fit your organization’s needs. The solution can use your project-specific terminology and company rules. This makes it a personalized resource for every user.
What Makes Retrieval-Augmented Generation (RAG) So Powerful?
RAG combines the power of retrieval-based systems and generative AI to deliver accurate, contextually relevant answers. It searches through your organization's knowledge bases and uses a language model to generate responses backed by reliable data.
This approach provides users with instant, accurate help. RAG makes sure answers are relevant and easy to understand. Teams save time, work faster and make smarter decisions.
3 Benefits of AI Help’s Retrieval Augmented Generation at a Glance:
Saves Time: Short, concise helps users spend less effort searching and can resolve issues quickly so they can focus on their work.
Builds Trust: Every answer links to its source. Users can check details or learn more if needed. This makes the tool reliable and easy to trust.
Scalable and Future-Ready: AI Help adapts as your organization grows. It evolves with new processes and needs, staying useful for the long term.
Getting Started with AI Help: Setting Up Retrieval Augmented Generation
To start using AI Help, first create an LLM (large language model) connector in the administration module. This connects your AI engine to Planisware Enterprise. Next, index the eLearning content by setting up and running an indexation batch.
For an in-depth guide to retrieval augmented generation, check out the “First Look: Setting up the RAG” directly in the Help Center of your environment (in v7.1.4 and above).
