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[Docs]: Clean up docs (#802)

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This commit is contained in:
Deshraj Yadav
2023-10-14 19:14:24 -07:00
committed by GitHub
parent 4a8c50f886
commit 77c90a308e
14 changed files with 120 additions and 304 deletions
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README.md
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@@ -8,7 +8,7 @@
[![Open in Colab](https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/drive/138lMWhENGeEu7Q1-6lNbNTHGLZXBBz_B?usp=sharing)
[![codecov](https://codecov.io/gh/embedchain/embedchain/graph/badge.svg?token=EMRRHZXW1Q)](https://codecov.io/gh/embedchain/embedchain)
Embedchain is a framework to easily create LLM powered bots over any dataset. If you want a javascript version, check out [embedchain-js](https://github.com/embedchain/embedchain/tree/main/embedchain-js)
Embedchain is a Data Platform for LLMs - load, index, retrieve, and sync any unstructured data. Using embedchain, you can easily create LLM powered apps over any data. If you want a javascript version, check out [embedchain-js](https://github.com/embedchain/embedchain/tree/main/embedchain-js)
## Community
@@ -94,7 +94,7 @@ If you utilize this repository, please consider citing it with:
```
@misc{embedchain,
author = {Taranjeet Singh, Deshraj Yadav},
title = {Embedchain: Framework to easily create LLM powered bots over any dataset},
title = {Embedchain: Data platform for LLMs - load, index, retrieve, and sync any unstructured data},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},