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How to Use Google Drive as a Knowledge Base For a ChatGPT Application.

Plenty of articles have been about using ChatGPT to chat with a PDF document.

So, instead of bringing your documents to ChatGPT; instead, bring ChatGPT to your documents using apps like Google Drive, Notion, and Dropbox as your knowledge base.

“You don’t need to build a new knowledge base. You just need to use the knowledge base you already have.” ¹

Breakdown of what is been covering: ¹

1. Connecting to Google Drive via Python

2. Extracting all of the documents under a specific folder

3. Storing the text data inside a vector database

4. Querying the data using ChatGPT ²

^{install dependencies}

# pip show Flask
# pip show Flask-Cors
# pip show google-api-python-client
# pip show google-auth
# pip show google-auth-httplib2
# pip show google-auth-oauthlib

pip install Flask==2.3.2
pip install Flask-Cors==4.0.0
pip install google-api-python-client==2.93.0
pip install google-auth==2.22.0
pip install google-auth-httplib2==0.1.0
pip install google-auth-oauthlib==1.0.0
pip install PyPDF2==3.0.1
pip install tiktoken==0.3.3
pip install openai==0.27.0

# pip show qdrant_client
# pip show matplotlib
# pip show plotly
# pip show pandas
# pip show scipy
# pip show scikit-learn
pip install qdrant_client==1.3.1
pip install matplotlib==3.7.2
pip install plotly==5.15.0
pip install pandas==2.0.3
pip install scipy==1.11.1
pip install scikit-learn==1.3.0

---

• main.py
• qdrant_test.py

# authorize
curl http://127.0.0.1:5000/authorize

# load data from GDocs
curl -X POST 'http://127.0.0.1:5000/load' \
-H 'Content-Type: application/json' \
-d '{"folder_path": "https://drive.google.com/drive/folders/1cAa_F9CnyCALEscyuBFimiLo9JsPZxkN"}'

# query
curl -X POST 'http://127.0.0.1:5000/query' \
-H 'Content-Type: application/json' \
-d '{"query": "what the difference between structured data and unstructured data"}'

• Other Resources:
  • reference to do something alike using AWS infra-structure
    • Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock
    • How to Integrate AWS Bedrock via Boto3 and Langchain in Large Language Model Applications

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1. Using Google Drive as a Knowledge Base For Your ChatGPT Application ↩ ↩²

2. Original full code ↩