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LLM Framework for UiPath Studio

LLM Framework for UiPath Studio

by Russel A P.

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Template

Downloads

114

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Summary

Summary

Quickly build your own Generative AI powered automations using this LLM Framework Studio template.

Overview

Overview

LLM framework orchestrates template reusability across a wide array of use cases requiring the power of large language models.

These use cases generally fall under 3 categories:

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

This template leverages custom Python API built on top of LangChain framework (standard framework for LLM app development).

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

Features

Features

🗝️ LLM Powered Custom Activities using LangChain Framework – Industry Standard for LLM App Development

  • 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

🗝️ Framework support for Conversational (Message – Response) and Transactional  (Input – Process - Output) Use Cases

Additional Information

Additional Information

Dependencies

Custom Activity Package > 'LLM Framework - Langchain Activities'- https://marketplace.uipath.com/listings/llm-framework-langchain-activities > Watch this video to quickly walk you through how to setup the Python API backend and custom activity properties https://youtu.be/xCqTXhPVakY

Code Language

Visual Basic

Publisher

Russel A P.

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License & Privacy

Apache

Privacy Terms

Technical

Version

2.0.1

Updated

October 17, 2023

Works with

Studio: 23.4+

Certification

Silver Certified

Application

Anthropic ClaudeChatGPTPineconeUiPath Action CenterUiPath AppsUiPath AssistantUiPath Data ServiceUiPath OrchestratorUiPath RobotUiPath Studio

Support

UiPath Community Support

Resources

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