Function build_lib

solutions/embeddings/using_pg_vector.py:44–64

(library_name, folder="Agreements")

os.environ["USER_MANAGED_PG_USER_NAME"] = "postgres"

def build_lib (library_name, folder="Agreements"):

    # Step 1 - Create library which is the main 'organizing construct' in llmware
    print ("\nupdate: Step 1 - Creating library: {}".format(library_name))

    library = Library().create_new_library(library_name)

    # Step 2 - Pull down the sample files from S3 through the .load_sample_files() command
    #   --note: if you need to refresh the sample files, set 'over_write=True'
    print ("update: Step 2 - Downloading Sample Files")

    sample_files_path = Setup().load_sample_files(over_write=False)

    # Step 3 - point ".add_files" method to the folder of documents that was just created
    #   this method parses the documents, text chunks, and captures in MongoDB
    print("update: Step 3 - Parsing and Text Indexing Files")

    #   options:   Agreements | UN-Resolutions-500
    library.add_files(input_folder_path=os.path.join(sample_files_path, folder))

    return library


# start script