
Explore generate, a local LLM powered Rag document search platform for enterprise use. Build and edit workflow cards, use embeddings and a Rag pipeline across private on-prem or cloud models.
Set up your generate instance, add documents via pick documents or folders, connect Google Drive or repositories, create a vector database, enable the language model, and summarize with workflow cards.
Explore key buzzwords—L'olam, vector search, vector databases, embedding models, fine tuning, agentic systems, rank, and guardrails—and learn how they power semantic search and safer, accurate AI workflows.
Explore workflow cards that streamline access to agentic tasks like text generation, reports, analysis, and image creation, and use the card manager for education tools like grading and rubrics.
Explore workflow cards in generate ai pc, run legal document analysis on a local file, and view strengths, weaknesses, opportunities, threats with metrics and export as pdf, text, or markdown.
Explore the card manager to view, create, edit, export, import, and manage cards with metadata and workflow steps.
Capture user input to tailor card data, then select integration and file to drive vector db search and generate response.
Explore the card manager in generate IPC, learn to view, edit, delete, sort, and filter cards, import or export data, create new cards, and enable autoplay to streamline workflows.
Explore card complexity by outlining inputs, outputs, data types, and integrations like emails and databases. Identify tiered workflow cards—basic, advanced, and complex—and use the combined steps tool for multi-section outputs.
This hands-on training course provides a comprehensive introduction to designing and editing Workflow Cards within the Generate platform, a local RAG-based document search and automation system powered by LLMs. Participants will learn how to create, modify, and deploy agentic workflows that solve real-world problems using tools like vector databases, AI-powered summarization, and multi-step logic execution.
By the end of the course, learners will be able to:
Understand the architecture of Interplay Generate, including how RAG and agentic systems work together to deliver context-aware, intelligent automation.
Build and customize Workflow Cards to support use cases such as document analysis, content generation, internal knowledge search, and web-based data retrieval.
Use the Card Manager to view, filter, edit, and export/import cards for reuse or collaboration across teams.
Work directly with tools like Generate LLM Response, Search Vector DB, and Combine Steps to structure advanced, modular flows tailored to specific business needs.
Manage complexity in workflows through modular card design, prompt engineering, and thoughtful output control strategies.
No prior programming experience is required, though familiarity with AI concepts is helpful. Whether you're building simple document comparison cards or multi-step RFP generators, this course equips you with the practical knowledge and creative freedom to extend Generate's capabilities for your specific needs.