I'm trying something out with loader = GithubRepositoryReader(...) but I do not know how to load the documents returned into an index.

I've tried


However I receive this error:

ValueError: One of documents or index_struct must be provided.

Any idea what I should be doing?

can you help with the required pinecone dimensions, pod type and and metrics?

Hi

What causes this error when using pinecone as a vectorstore?

HTTP response body: The index exceeds the project quota of 1 pods by 1 pods. Upgrade your account or change the project settings to increase the quota.

has anyone run the pinecone example in the LlamaIndex documentation with the free version of pinecone?

I am receiving this error and can't find much information in the documentation of either side:

HTTP response body: The index exceeds the project quota of 1 pods by 1 pods. Upgrade your account or change the project settings to increase the quota.

@kapa.ai do you know what is causing this error?

Hello all - I'm doing a project using LlamaIndex to create text prediction for my documents. I'm looking to understand what is happening within the index and when it is queried. Before I jump into the code is there any background material/documentation that can help?