querying in pinecone vector database

Question

I am trying to fetch top 3 related vector from pine cone which are similar to the query_vector

answer=index.query(
  vector=query_vector,
  top_k=3,
  include_values=True
)
st.write(answer)

query_vector is a list of 1536-dimensional embedding of a query which looks like as follows [0.02088431, 0.007455872, -0.016556364, -0.011433648, -0.047843482, -0.016949814, -0.05335178, 0.012023823, -0.021985969, .........] my database is also storing embeddings of 1536 dimensions. When I am executing this it is giving error

TypeError: 'NoneType' object is not callable

what should I do ...

Mit Shah · Accepted Answer · 2024-02-08 11:51:39Z

1

from pinecone import Pinecone

pc = Pinecone(api_key="API_KEY_PINECONE")
index = pc.Index("hb-demo")

ans = index.query(
  vector=[0.99,0.59,0.36,...],//1536 total dimensions
  top_k=3,
  include_metadata=True,
    include_values=True,
    namespace='demo'
)
print(ans)

I have used this kind of query in my Jupyter-notebook it works fine.Please check your index-name and namespace.

You haven't provided namespace here so it will take response from default namespace. so, check that default namespace in your pinecone account contains records.

edited Feb 8, 2024 at 11:51

answered Feb 8, 2024 at 11:51

Mit Shah

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