[Docs] Weaviate Academy hypbrid search code snippet is incomplete

Support
1

Hi. I’m working my way through the code in Weaviate Academy and the hybrid search code is incomplete. For this code:

# Perform query
response = movies.query.hybrid(
    query="history",  # For BM25 part of the hybrid search
    vector=query_vector,  # For vector part of the hybrid search
    limit=5,
    return_metadata=wq.MetadataQuery(score=True),
)

Python throws and error that query_vector is undefined. Both Llama 4 and Gemini 2.5 Pro (experimental) fixed but I thought you should know.

2

Hi @Ken_Chang !!

Welcome to our community :hugs:

Indeed. There is a missing line for that lesson on using custom vectors for hybrid search:

query_text = "history"
query_vector = vectorize(co, [query_text])[0]

With that you can perform the query:

# Perform query
response = movies.query.hybrid(
    query=query_text,  # For BM25 part of the hybrid search
    vector=query_vector,  # For vector part of the hybrid search
    limit=5,
    return_metadata=wq.MetadataQuery(score=True),
)

I will make sure to send a PR for this later today.

Thanks for pointing it out!