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Workshop DetailsBuilding an AI Knowledge Assistant for Slack with RAG

Create a production-ready Slack bot that leverages RAG for intelligent document search and responses

CompletedIntermediateClosed
3/15/2024 - 3/15/2024
3.5 hours
1/8 spots
Ai
$0
In this hands-on workshop, participants will build a powerful AI knowledge assistant integrated with Slack. Using the Retrieval Augmented Generation (RAG) architecture, you'll create a system that processes documents, builds a semantic search index, and delivers context-aware responses directly through Slack. The workshop focuses on practical implementation using Python, Streamlit for the admin interface, FAISS for vector storage, and integration with the Slack API. By the end of the session, you'll have a functional knowledge assistant that can process various document formats, perform semantic search across your content, and deliver precise answers based on your organization's knowledge base. This project demonstrates the practical application of modern AI techniques within a business context, creating immediate value for teams that need efficient knowledge management.

Learning Objectives

  • Build a complete RAG system for document processing and retrieval
  • Implement a responsive Slack bot with context-aware capabilities
  • Create a Streamlit web interface for system management and configuration
  • Develop robust document processing pipelines for various file formats
  • Implement efficient vector search using FAISS
  • Learn effective AI-assisted development workflows using Cursor

Topics Covered

Retrieval Augmented Generation (RAG) ArchitectureDocument Processing and Text Extraction TechniquesVector Embedding Creation with OpenAI ModelsFAISS Vector Database ImplementationSlack Bot Development with PythonStreamlit Application Development for Admin InterfacesContext-Aware Response Generation with LLMsSemantic Search Implementation for Knowledge RetrievalAI-Assisted Development Techniques with Cursor

Prerequisites

  • Python 3.12+ installed on your system
  • Cursor IDE installed (https://www.cursor.com/)
  • Intermediate Python programming knowledge
  • Admin access to a Slack workspace for testing
  • OpenAI API key with GPT-4 access

Setup Instructions

  • Install Python 3.12+ from https://www.python.org/downloads/
  • Install Cursor IDE from https://www.cursor.com/
  • Create a Python virtual environment: python -m venv venv
  • Activate virtual environment (Windows: venv\\Scripts\\activate, macOS/Linux: source venv/bin/activate)
  • Install required packages: pip install streamlit langchain openai faiss-cpu python-dotenv slack-sdk
  • Create a Slack app with appropriate permissions (details will be provided in the workshop)
  • Set up OpenAI API credentials (instructions included in workshop materials)

Materials Provided