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"""Utility functions for the RAG pipeline."""
from src.utils.checkpointing import (
append_log_entry,
consolidate_log_file,
generate_csv_from_log,
is_rate_limit_error,
load_log_entries,
load_processed_qids,
)
from src.utils.common import normalize_text, remove_diacritics, sort_qids
from src.utils.ingestion import (
get_embeddings,
get_qdrant_client,
get_vector_store,
ingest_all_data,
ingest_files,
)
from src.utils.llm import get_large_model, get_small_model
from src.utils.web_crawler import WebCrawler, crawl_website, save_crawled_data
__all__ = [
# Checkpointing
"load_processed_qids",
"load_log_entries",
"append_log_entry",
"consolidate_log_file",
"generate_csv_from_log",
"is_rate_limit_error",
"sort_qids",
# Ingestion
"get_embeddings",
"get_qdrant_client",
"get_vector_store",
"ingest_all_data",
"ingest_files",
# LLM
"get_small_model",
"get_large_model",
# Text utilities
"normalize_text",
"remove_diacritics",
# Web crawler
"WebCrawler",
"crawl_website",
"save_crawled_data",
]
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