Yaroslav

Hey there! I've been using a pinecone index for retrieval so far and now want to use llamaindex on top of pinecone. However, I'm getting a ValueError: Node content not found in metadata dict. when I try to query my query engine. My pinecone index is not empty. I'm new to llamaindex so still figuring it out. Can someone please point me in the right direction?

Here's my code so far:

Plain Text

vector_store = PineconeVectorStore(
    api_key=PINECONE_API_KEY,
    environment=PINECONE_ENVIRONMENT,
    index_name=PINECONE_INDEX
)

llm = OpenAI(temperature=0, model="gpt-4-1106-preview")
service_context = ServiceContext.from_defaults(llm=llm)

index = VectorStoreIndex.from_vector_store(vector_store=vector_store, service_context=service_context)

vector_index_retriever = VectorIndexRetriever(index)

query_engine = RetrieverQueryEngine(vector_index_retriever)

response = query_engine.query("Title: Phase III Clinical Trial of Novel Anticoagulant Compound Z in Adult Patients with Atrial Fibrillation")
response

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