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Use open source embeddings for semantic search to feed OpenAI GPT with your own data

  Рет қаралды 792

Hubel Labs

Hubel Labs

Күн бұрын

Whether or not to use OpenAI's embedding API when creating a vector database and semantic search workflow to provide GPT4 with your own data?
If not, what are the best open source embedding models to use as alternatives?
useful links:
- iamnotarobot.s...
- openai.com/pri...
- huggingface.co...

Пікірлер: 3
@rbrowne4255
@rbrowne4255 Жыл бұрын
Thanks, Excellent explanation!!! are there any security concerns sending the results of the similarity search back to the GPT model?
@hubel-labs
@hubel-labs Жыл бұрын
Yes, absolutely you are right to be concerned sending that data back if it is of a highly confidential nature. In this case, the LLM needs to be replaced by an enterprise grade solution (I think Azure recently announced some solutions for enterprise grade GPT) or host your own LLM on your own machines using open source models.
@masterycgi
@masterycgi 8 ай бұрын
Nice!
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