Analysis
This article unveils an ingenious method for creating an internal Retrieval-Augmented Generation (RAG) chatbot using Google Apps Script (GAS), spreadsheets, and the Gemini API, eliminating the need for servers or databases. This innovative approach promises to unlock the value of accumulated internal data, transforming it into an accessible and searchable knowledge base for organizations. The article highlights how this serverless architecture simplifies deployment and reduces operational overhead.
Key Takeaways
- •The system leverages Google Apps Script (GAS) to create a RAG chatbot without the need for traditional servers.
- •It utilizes a spreadsheet as a vector database, streamlining data storage and retrieval.
- •The Gemini API is integrated for both text embedding and answer generation, optimizing the workflow.
Reference / Citation
View Original"The main feature is that no server or database is needed. A RAG chatbot runs with Google Apps Script (GAS), spreadsheets, and the Gemini API."