Settings
?embed_model
and tokenizer
be?for doc in documents: index.insert(doc)
2024-01-11 22:49:04,713:INFO - Retrying request to /chat/completions in 0.974549 seconds 2024-01-11 22:49:04,714:INFO - Retrying request to /chat/completions in 0.958529 seconds 2024-01-11 22:50:05,681:INFO - Retrying request to /chat/completions in 1.951599 seconds 2024-01-11 22:50:05,695:INFO - Retrying request to /chat/completions in 1.896280 seconds
YoutubeTranscriptReader
extracts the timestamps, if so how can one access it?recursive
in SimpleDirectoryReader
... does it work out of the box, or does it need any tweaks to make it work?tokenizer = GemmaTokenizer.from_pretrained(llama2-70b-4096)
for a model from Groqfrom llama_index.llms.openai import OpenAI
ImportError: cannot import name 'LLM' from 'llama_index.core.llms' (unknown location)
SimpleDirectoryReader
now in v0.10.14
?Error: Vector store integrations that store text in the vector store are not supported by ref_doc_info yet.
does Qdrant
not support this?