Uncomment if you wanna make your own index

dr = DenseRetriever( index_name="wiki_de-index_sentence_transf-BAAI/bge-m3_title_only_fullarticles", model="BAAI/bge-m3",
normalize=True, max_length=512, use_ann=True, )

dr = dr.index_file( path="./wikipedia_de_filtered_fullarticles.csv", # File kind is automatically inferred embeddings_path=None, # Default value use_gpu=True, # Default value batch_size=32, # Default value show_progress=True, # Default value callback=lambda doc: { # Callback defaults to None. "id": doc["id"], "text": doc["title"],
}, ) """

from retriv import DenseRetriever

loading the wikipedia de text data

file_path = "./wikipedia_de_filtered_fullarticles.csv" # CSV with fulltext df = pd.read_csv(file_path)

file_path = "./wikipedia_de_filtered_300wordchunks.csv" # CSV with fulltext df2 = pd.read_csv(file_path)

loading the retrievers

dr = DenseRetriever.load("wiki_de-index_sentence_transf-BAAI/bge-m3_title_only_fullarticles") # the embeddings here are made from the titles of the wikipedia pages, but can be matched to the full texts in the wikipedia_de_filtered_fullarticles.csv

result = dr.search( query="was is der doppelspaltversuch?", # What to search for
return_docs=True, # Default value, return the text of the documents cutoff=3, # Default value, number of results to return ) print(df)

for res in result:

id_query = int(res["id"])-1 row = df.iloc[id_query]

print(row)

Extracting 'text' and 'url' from the resulting row

result_text = row['text'] result_url = row['url'] print(result_url,result_text[:1000])

print("###################") print("+++++++++++++++++++")

dr2 = DenseRetriever.load("wiki_de-index_sentence_transf-BAAI/bge-m3") # the embeddings here are made from 300 word segments of the articles. The IDs point to wikipedia_de_filtered_300wordchunks.csv

result = dr2.search( query="was is der doppelspaltversuch?", # What to search for
return_docs=True, # Default value, return the text of the documents cutoff=3, # Default value, number of results to return )

for res in result:

id_query = int(res["id"])-1 # the "id" values start with 1, not 0 , -> need to substract 1 ;) row = df2.iloc[id_query]

print(row)

Extracting 'text' and 'url' from the resulting row

result_text = row['text'] result_url = row['url'] print(result_url,result_text)

print("########")