/ai-work-notes-knowlege-extractor

Usage of Langcahin and OpenAI to do multi stage knowledge extraction with Milvus vector database of flight records from work

Primary LanguagePython

ai-work-notes-knowlege-extractor

Usage of Langcahin and OpenAI to do multi stage knowledge extraction with Milvus vector database of flight records from work

Usage

  • Start Milvus in docker
docker compose up milvus/docker-compose.yml -d

  • rename .env.example to .env and add your OPENAI Key

  • populate the milvus database from a .md file that contains all your notes, each note must be in the following format, separated by at least 3 dashes, example:

#### {date}

#tag1 #tag2

{notes}

-----

#### {date}

#tag3 #tag4

{notes}

  • put the file at project root and name it fl.md

  • run inject_data_into_milvus() from dataset_milvus_injector.py

  • Once milvus is populated run main.py