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.

Databricks Slack RAG Reference Implementation

Apply for WorkshopBuilding an AI Knowledge Assistant for Slack with RAG