Create Your Own Data Retreival Database
This tutorial will walk you through the process of creating and using your own vector database with gpttools in R. This will help enhance ChatGPT’s ability to provide accurate and context-specific results.
Step 1: Scraping text data
First, you need to scrape the text data from the website you want to
build the vector database for. Use the crawl() function
provided by gpttools to do this:
The crawl() function will automatically generate
embeddings and create a vector store that we’ll call an index. This
index will enable efficient searching and retrieval of relevant
information from the scraped data. By default, it will save the
generated embeddings and index in the location specified by
tools::R_user_dir("gpttools", which = "data").
Step 2: Using ChatGPT with Retriever
gpttools also comes with a Shiny app that allows you to use the vector database as a plugin in RStudio. To launch the app, open the command palette (Cmd/Ctrl + Shift + P), type “gpttools”, and select the “gpttools: ChatGPT with Retrieval” option.
By creating your own data retriever with gpttools, you can harness the power of ChatGPT to answer questions and generate information specific to your domain of interest, providing more accurate and relevant results tailored to your needs.