langchat / build_vectorstore.py
Tanmay09516's picture
Upload 14 files
dd87c4b verified
raw
history blame
938 Bytes
# build_vectorstore.py
from embeddings import init_embeddings
from vectorstore import create_vector_stores, create_vector_store_from_folder
import os
def main():
"""
Main function to build vector stores from specified document paths and folders.
"""
# Initialize embeddings
embeddings = init_embeddings()
# List of document paths to process
doc_paths = [
"docs/docs_v1.txt",
"docs/docs_v2.txt",
"docs/docs_v3.txt"
]
# Create vector stores for individual documents
create_vector_stores(doc_paths, embeddings)
# Create vector store from the 'formatted_issues' folder
formatted_issues_folder = "formatted_issues"
if os.path.exists(formatted_issues_folder):
create_vector_store_from_folder(formatted_issues_folder, embeddings)
else:
print(f"Folder {formatted_issues_folder} does not exist. Skipping.")
if __name__ == "__main__":
main()