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Implementamos modulo LLM y VectorStore.
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"""
Modulo que permite gestionar la vector store.
"""
from langchain_chroma import Chroma
import requests, zipfile, io, os
class ChromaDB:
"""
Clase para gestionar una base ChromaDB
"""
def __init__(self, embedding_model) -> None:
if not os.path.exists("chroma_db"):
print("Descargando base de conocimiento...")
zip_file_url = "https://drive.google.com/uc?export=download&id=" + os.environ["GDRIVE_ID"]
r = requests.get(zip_file_url)
z = zipfile.ZipFile(io.BytesIO(r.content))
z.extractall()
print("OK")
self.db = Chroma(
collection_name="res_1650",
embedding_function=embedding_model,
persist_directory="./chroma_db",
)