LLM Framework for UiPath Studio

• Conversational (chat-based/context-aware conversations, personal assistants)
• Transactional (queue based)
• Transactional with human in the loop

Quick-Start Samples Included

• Simple Sequence
• Sample Implementation: Conversation Mode - Chat With Your Own Data (UiPath Forms + LLM Framework)
• Sample Implementation: Transaction Mode - Contracts Indemnification Review (Queues + LLM Framework)

Video Walkthrough

• 0:30 - LLM Framework Overview
• 1:18 - Conversational (e.g. Personal Assistants) vs Transactional (e.g. Queue based)
• 3:52 - Framework Custom Activity Components
• 4:47 - Currently Supported LLM Provider/Model
• 6:21 - Framework Activities: Sample Basic Usage
• 13:35 - LLM Framework Template Detailed Walkthrough
• 15:15 - Framework Configuration File
• 20:15 - Framework Pathways
• 22:18 - Custom Interaction Flow Rules/Validations
• 23:38 - Sample Implementation: Conversation Mode
• 29:51 - Solution Architecture
• 33:13 - Sample Implementation: Transaction Mode - Contracts Indemnifcation Review
• 41:06 - HITL Configuration - Enable Persistence
• 41:48 - HITL Configuration - Wait Activity Placeholder
• 47:14 - HITL Action Sample - Contracts Indemification Review
• 48:44 - Sample Implementation: Transaction Mode - Contracts Summarization & Deliverables Extraction
• 51:54 - HITL Action Sample - Contracts Summarization & Deliverables Extraction
• 52:48 - Closing Summary

• Ingest Knowledge Source – Create and serialize vector database out of provided sources such as CSV, PDF, DOCX, YouTube video links, etc.
• Converse With Context – Context-Aware, Multi-input (LLM model, context docs, memory/history, prompt template) LLM Chain