Thanks to Pedro at OctoAI we have a new embedding option.
The following PR adds support for the use of OctoAI embeddings.
Forked from the original OpenAI embeddings class. We removed the use of
the LangChain adaptor, and use OpenAI's SDK directly instead.
Also updated out-of-date example script.
Including new test file for OctoAI.
# Testing
Get a token from our platform at: https://www.octoai.cloud/
For testing one can do the following:
```
export OCTOAI_TOKEN=<your octo token>
python3 examples/embed/example_octoai.py
```
## Testing done
Validated running the above script from within a locally built container
via `make docker-start-dev`
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Co-authored-by: potter-potter <david.potter@gmail.com>
### Summary
We no longer use the "bricks" terminology for partioning functions, etc
in the library. This PR updates various references to bricks within the
repo and the docs. This is just an initial pass to swap the terminology
out, it'll likely be helpful to reorganize the docs a bit as well.
---------
Co-authored-by: qued <64741807+qued@users.noreply.github.com>
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
