Build a Q+A Retrieval Augmented Generation System with Slack Data Using Unstructured and SingleStoreDB
Blog post from Unstructured
The blog post discusses how to build a Question and Answer (Q+A) Retrieval Augmented Generation (RAG) system utilizing Slack data, Unstructured, and SingleStoreDB, authored by Ronny Hoesada. The approach leverages Unstructured to process and prepare Slack data, making it suitable for retrieval tasks, and SingleStoreDB to handle large-scale data storage and retrieval efficiently. This system aims to enhance Q+A capabilities by integrating these tools, thereby improving data accessibility and response accuracy. The post also references related articles that explore various use cases and technological approaches in different industries, highlighting the broader applicability and potential of these technologies in document AI and other fields.