If I only ever plan on using pre-computed embeddings, setting Settings.embed_model = None gives me an error about an OpenAI key? Is there a way to set embed_model to None like there is with Settings.llm?

When I call .retrieve() I get a NodeWIthScore() object, but the embedding is always None. How can I return the embedding in the NodeWithScore object as well?

def seems like a LlamaIndex issue, LangChain works without an issue

anyone know when the system_prompt argument was removed from the Ollama integration? and how to add one in the new implementation

it seems like CitationQueryEngine is just a fancy prompt? is that correct?

@kapa.ai When I call .retrieve() I get a NodeWIthScore() object, but the embedding is always None. How can I return the embedding in the NodeWithScore object as well?

@kapa.ai How can I print out the intermediate prompts used in TreeSummarizer?

@kapa.ai Is there a way to query an index using an embedding?