Build MongoDB Vector Store

salgadev / LlamApprenticeship

An assistant that helps train tradespeople based on the Building Code

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Open salgadev opened 6 months ago

salgadev commented 6 months ago

Use the output from the Llama parser function to Ingest the Ontario Building Code and make it into a Vector Store using MongoDB.

Notes:

Don't use "fake embeddings"
Depending on results, we may choose different embeddings and have to do this again

Niersol commented 6 months ago

I deployed free shared Cluster of MongoDB.
tried to configure vector store as guided through link https://docs.llamaindex.ai/en/stable/examples/vector_stores/MongoDBAtlasVectorSearch/ I provided OPEN_AI API KEY of free account but I received error status 429 stated(You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.)