Harnessing Vector Database and ChatGPT intuitive document analysis
Create .env file with following variables
OPENAI_API_KEY=
PINECONE_ENVIRONMENT=
PINECONE_API_KEY=
PINECONE_INDEX_NAME=
PINECONE_NAME_SPACE=
Start the express server node index.js
Load file
curl --location 'http://localhost:3000/load' \
--header 'Content-Type: application/json' \
--data '{
"filePath": "/Users/kris/Downloads/pdf-mls-handbook-2023.pdf"
}'
{"fileName":"pdf-mls-handbook-2023.pdf","message":"File loaded successfully"}
Talk to the document
curl --location 'http://localhost:3000/ask' \
--header 'Content-Type: application/json' \
--data '{
"chat": "What is an MLS",
"history": "",
"filename": "pdf-mls-handbook-2023.pdf"
}'