I have crated a large VectorStoreIndex which i have persisted - almost 7 gb. I want to transfer this data into a ChromaDB, but do not see a good way to access transfer to Chroma automatically, or access the underlying nodes and embeddings in order to add them manually. Does anyone have a solution to this?

Anyone know how to commit bm25 results into a vectorstore or database, and then retreive them later - too many to retreive an process everytime.

This is probobly simple question, but i cannot find a good source in the documentation on how to switch from davinci to using gpt 3.5 or gpt 4 as a query engine.

Latest update with GPTSimpleVectorIndex renaming has broken tutorials -

from llama_index import VectorStoreIndex, SimpleDirectoryReader

documents = SimpleDirectoryReader('data').load_data()
index = VectorStoreIndex.from_documents(documents)

Does not work due to GPT renaming