Hi all, I cant seem to figure out how to load and query a pinecone index. I have a pinecone index stored in pinecone. I want to load that index and query it at a different time than index construction. I get an error when I use the vanilla query.index() function, it expects the query to come in vector form. How can I resolve this issue?
Hi everyone, Im trying to store a slack conversation history for my slack workspace and then use gpt-index to query the data. Im not sure whats the best way to model slack chat data. Lets say I were to use mongodb to store the chat data, how can I store it? Do I concatenate slack messages and store the entire history for a single channel in a single document, or do I store every message separately. Any pointer is much appreciated
