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Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

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Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>
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Taranjeet Singh
2024-07-12 07:51:33 -07:00
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parent 83e8c97295
commit f842a92e25
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embedchain/examples/unacademy-ai/README.md Normal file
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## Unacademy UPSC AI
This directory contains the code used to implement [Unacademy UPSC AI](https://unacademy-ai.streamlit.app/) using Embedchain. It is built on 16K+ youtube videos and 800+ course pages from Unacademy website. You can find the full list of data sources [here](https://gist.github.com/deshraj/7714feadccca13cefe574951652fa9b2).
## Run locally
You can run Unacademy AI locally as a streamlit app using the following command:
```bash
export OPENAI_API_KEY=sk-xxx
pip install -r requirements.txt
streamlit run app.py
```
Note: Remember to set your `OPENAI_API_KEY`.
## Deploy to production
You can create your own Unacademy AI or similar RAG applications in production using one of the several deployment methods provided in [our docs](https://docs.embedchain.ai/get-started/deployment).