How to collect data for vectorizing

This process should be run first. This will enable you to collect a ton of data across various sources. Currently the following services are supported:

• YouTube Channels
• Medium
• Substack
• Arbitrary Link
• Gitbook
• Local Files (.txt, .pdf, etc) See full list these resources are under development or require PR
• Twitter

Requirements

• Python 3.8+
• Google Cloud Account (for YouTube channels)
• brew install pandoc pandoc (for .ODT document processing)

Setup

This example will be using python3.9, but will work with 3.8+. Tested on MacOs. Untested on Windows

• install virtualenv for python3.8+ first before any other steps. python3.9 -m pip install virtualenv
• cd collector from root directory
• python3.9 -m virtualenv v-env
• source v-env/bin/activate
• pip install -r requirements.txt
• cp .env.example .env
• python main.py for interactive collection or python watch.py to process local documents.
• Select the option you want and follow follow the prompts - Done!
• run deactivate to get back to regular shell

Outputs

All JSON file data is cached in the output/ folder. This is to prevent redundant API calls to services which may have rate limits to quota caps. Clearing out the output/ folder will execute the script as if there was no cache.

As files are processed you will see data being written to both the collector/outputs folder as well as the server/documents folder. Later in this process, once you boot up the server you will then bulk vectorize this content from a simple UI!

If collection fails at any point in the process it will pick up where it last bailed out so you are not reusing credits.

How to get a Google Cloud API Key (YouTube data collection only)

required to fetch YouTube transcripts and data

• Have a google account
• Visit the GCP Cloud Console
• Click on dropdown in top right > Create new project. Name it whatever you like
  • 
• Enable YouTube Data APIV3
• Once enabled generate a Credential key for this API
• Paste your key after GOOGLE_APIS_KEY= in your collector/.env file.