SCR_Course_ChatBot / scripts /chunk_and_embed.py
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Update scripts/chunk_and_embed.py
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from langchain.text_splitter import RecursiveCharacterTextSplitter
from pathlib import Path
import pickle
import os
def main():
BASE_DIR = Path(__file__).resolve().parent.parent
DOCS_PATH = BASE_DIR / "output" / "all_docs.pkl"
CHUNKS_PATH = BASE_DIR / "output" / "chunks.pkl"
with open(DOCS_PATH, "rb") as f:
all_docs = pickle.load(f)
splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
chunks = splitter.split_documents(all_docs)
print(f"βœ… Split into {len(chunks)} chunks")
with open(CHUNKS_PATH, "wb") as f:
pickle.dump(chunks, f)
print(f"πŸ“¦ Chunks saved to {CHUNKS_PATH}")
if __name__ == "__main__":
main()