We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
You can continue the conversation there. Go to discussion →
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi, Can U use other methods for embedding than open AI, something offline, so that I do offline enriching for my local pdf files? Thanks
The text was updated successfully, but these errors were encountered:
You can use any embeddings you want. I haven't explored offline embeddings so not sure what libraries might be out there.
Sorry, something went wrong.
Looks like you might be able to user TensorFlow.js to generate your embeddings offline:
https://github.com/tensorflow/tfjs
Here's some example code from LangChain.js to generate embeddings using TensorFlow:
https://github.com/hwchase17/langchainjs/blob/main/langchain/src/embeddings/tensorflow.ts
Here's a video that might help as well:
https://www.youtube.com/watch?v=MdPYT-xCj9w
You'll need this package as well:
https://www.npmjs.com/package/@tensorflow-models/universal-sentence-encoder
No branches or pull requests
Hi,
Can U use other methods for embedding than open AI, something offline, so that I do offline enriching for my local pdf files? Thanks
The text was updated successfully, but these errors were encountered: