samples: Jupyter Notebook "#Try-inserting-the-documents-into-the-vector-table" is incompatible with the actual code and fails #137
Description
While trying to get end-to-end samples working alright, I encountered the section "#Try-inserting-the-documents-into-the-vector-table" when fails when given
def netflix_from_gcs(): return read_csv_from_gcs( "cloud-samples-data", "langchain/netflix_titles_compute_embeddings.csv" ) def intialize_embedding_service(vector_store, documents): docs_to_load = documents[:100] print("docs_to_load[0]", docs_to_load[0]) # ! Uncomment the following line to load all 8,800+ documents to the # database vector table with calling the embedding service. # docs_to_load = documents ids = [str(uuid.uuid4()) for i in range(len(docs_to_load))] vector_store.add_documents(docs_to_load, ids, batch_size=500)with
docs_to_load[0] ['show_id', 'type', 'title', 'director', 'cast', 'country', 'date_added', 'release_year', 'rating', 'duration', 'listed_in', 'description'] Traceback (most recent call last): File "/Users/emmanuelodeke/go/src/github.com/googleapis/langchain-google-spanner-python/samples/search_knn.py", line 170, in <module> main() File "/Users/emmanuelodeke/go/src/github.com/googleapis/langchain-google-spanner-python/samples/search_knn.py", line 80, in main run_kNN_vector_store() File "/Users/emmanuelodeke/go/src/github.com/googleapis/langchain-google-spanner-python/samples/search_knn.py", line 136, in run_kNN_vector_store intialize_embedding_service(vector_store, documents) File "/Users/emmanuelodeke/go/src/github.com/googleapis/langchain-google-spanner-python/samples/search_knn.py", line 91, in intialize_embedding_service vector_store.add_documents(docs_to_load, ids, batch_size=500) File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/langchain_google_spanner/vector_store.py", line 923, in add_documents texts = [doc.page_content for doc in documents] File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/langchain_google_spanner/vector_store.py", line 923, in <listcomp> texts = [doc.page_content for doc in documents] AttributeError: 'list' object has no attribute 'page_content'