FAISS similarity search error
am trying to build a similarity search in python, cannot debug the function:def perform_similarity_search(query_text, index, embeddings, top_k=5):“”“Perform similarity search in the FAISS index for a given query text.”“”Use the embeddings object to embed the query_text into a vector.Ensure the text is passed as a list and the result is accessed correctly.query_vector = embeddings.encode([query_text])Reshape the query_vector for compatibility with FAISS search method if necessary.FAISS expects the query vector to be a 2D array.if len(query_vector.shape) == 1:query_vector = query_vector.reshape(1, -1)# Search the index using the reshaped query_vector.
distances, indices = index.search(query_vector, top_k)  # Search the index for the top_k closest vectors
return distances, indicesdef run_indexing_pipeline():documents = fetch_documents(documents_dir)text_chunks = divide_documents_into_text_chunks(documents)embeddings_model = prepare_embeddings()faiss_index = build_and_store_faiss_index(text_chunks, embeddings_model, faiss_db_path)# Example query for testing purposes
query = "Enter some example text here"
distances, indices = perform_similarity_search(query, faiss_index, embeddings_model)
print("Distances:", distances)
print("Indices:", indices)def perform_similarity_search(query_text, index, embeddings, top_k=5):“”“Perform similarity search in the FAISS index for a given query text.”“”Use the embeddings object to embed the query_text into a vector.Ensure the text is passed as a list and the result is accessed correctly.query_vector = embeddings.encode([query_text])Reshape the query_vector for compatibility with FAISS search method if necessary.FAISS expects the query vector to be a 2D array.if len(query_vector.shape) == 1:query_vector = query_vector.reshape(1, -1)# Search the index using the reshaped query_vector.
distances, indices = index.search(query_vector, top_k)  # Search the index for the top_k closest vectors
return distances, indicesERRORS:Traceback (most recent call last):File “/home/ubuntu/new_d.py”, line 61, inrun_indexing_pipeline()File “/home/ubuntu/new_d.py”, line 56, in run_indexing_pipelinedistances, indices = perform_similarity_search(query, faiss_index, embeddings_model)^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^File “/home/ubuntu/new_d.py”, line 36, in perform_similarity_searchquery_vector = embeddings.encode([query_text])This is error being shown, pls let me know how I can correct it