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FairlyAverage
Offline, last seen 2 months ago
Joined September 25, 2024
I was hoping to make a llama-index cli, and saw there was already a cli.
https://docs.llamaindex.ai/en/stable/getting_started/starter_tools/rag_cli/

I have followed these instructions, but it fails to query.
ValueError: query_pipeline is not defined.

Has anyone got this to work?
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I have a text file, I want embeddings for each line. which documane tloader and splitter should I use?
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I converted to sqlite as it is structured and have tried the structured data tutorial.
It seems to work, but not the way I expected. I think I might change the field names to be more unique and less generic.

I'm searching through a taxonomy, looking for the catagory which is best, based on a description. the taxonomy has a description too.
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Hello, I have been exploring llamaindex, managed to do some indexing and basic querying.
I have a bit of a blindspot with my understanding, do queries only query my indexes?
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I'm playing with some earlier projects, and notice this is failing now.
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index.set_extra_info({"name":"foo"})

Has this been moved somewhere, I had a look, but didn't find it.
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How do I reduce chunk overlap?
I'm experimenting with different chunk size limits, so find an optimum size for processing documentation.

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service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, chunk_size_limit=100, )
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