## Vector Search DB In Pinecone from pinecone import Pinecone, ServerlessSpec import os pc = Pinecone(api_key=’a561dac3-3246-4aff-97fb-1f648d2ce750′) index_name = “text-embeddings” if index_name not in pc.list_indexes().names(): pc.create_index( name=index_name, dimension=384, metric=”cosine”, spec=ServerlessSpec( cloud=’aws’, region=’us-east-1′ ) ) from langchain_pinecone import PineconeVectorStore namespace = “wondervector5000″ docsearch = PineconeVectorStore.from_documents( host=”https://text-embeddings-nudmpai.svc.aped-4627-b74a.pinecone.io” documents=doc, index_name=index_name, embedding=embedding, namespace=namespace ) Getting error as: PineconeConfigurationError Traceback (most […]