PDF RAG Demo: Building Simplified AI Workflows with Couchbase Shell

A developer has created a simple chatbot using Couchbase Shell to answer questions related to Monopoly. The bot uses natural language processing (NLP) techniques, such as text enrichment and vector search, to provide relevant answers. The code is written in a script format, making it easy to manipulate and extend. The script initializes the RAG pipeline, stores documents, and asks questions using the `myAsk` function. The bot provides two types of answers: one with context and one without. The developer has also created an example use case for getting out of jail in Monopoly, demonstrating how to ask a question and receive relevant responses. The script can be sourced and run using Couchbase Shell, making it accessible to developers who want to build similar chatbots without needing to deploy an app or know Python.

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