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ashrielbrian authored Mar 7, 2023
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# Introduction

Semantic search of the Bible, comparing OpenAI's Ada v2 and `SentenceTransfomer` embeddings.

*Inspired by Christoffer Rehn's* [`bible-search`](https://github.com/hoffa/bible-search).
Search the NIV and NKJV semantically [here](https://bible-semsearch.streamlit.app/).

Generates OpenAI Ada v2 and `all-mpnet-base-v2` embeddings for the NIV and NKJV Bible translations, and makes it searchable with a simple API.

# Getting Started

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If you are self-hosting the app on a somewhat powerful machine, you can set `PINECONE_DEPLOYMENT = False` in `app.py`, This uses the parquet files as the embedding store. Otherwise, if you're running on a tiny pod with limited computed (e.g. Streamlit Cloud), then you'll want to make use of a vector database, in this case, Pinecone.

# Data
# Acknowledgements
- Bible versions (NIV, NKJV) are sourced from [my-bible-study](http://my-bible-study.appspot.com)
- *Inspired by Christoffer Rehn's* [`bible-search`](https://github.com/hoffa/bible-search).

*Soli Deo Gloria.*
*Soli Deo Gloria.*

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