From 0ea0ac1ebe5254911c7d5dd258d007cb2edec094 Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Wed, 8 May 2024 00:45:04 +0900 Subject: [PATCH] docs: update faiss_embedding.py untill -> until --- src/suql/faiss_embedding.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/suql/faiss_embedding.py b/src/suql/faiss_embedding.py index d0a11fe..62c3673 100644 --- a/src/suql/faiss_embedding.py +++ b/src/suql/faiss_embedding.py @@ -106,7 +106,7 @@ def compute_top_similarity_documents(documents, query, chunking_param=0, top=3): embeddings.add(chunked_documents_embeddings) _, I = embeddings.search(embed_query(query), len(chunked_documents_embeddings)) - # attempt to re-construct the top queries, keeping going untill we actually get all top + # attempt to re-construct the top queries, keeping going until we actually get all top iter_chunk = top * 2 doc_ids = OrderedSet() for i in range(0, len(I[0]), iter_chunk):