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fix: update docs #477

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Aug 24, 2023
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33 changes: 10 additions & 23 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -14,29 +14,6 @@ Embedchain is a framework to easily create LLM powered bots over any dataset. If
pip install embedchain
```

## 🔥 Latest

- **[2023/07/19]** Released support for 🦙 `llama2` model. Start creating your `llama2` based bots like this:

```python
import os

from embedchain import Llama2App

os.environ['REPLICATE_API_TOKEN'] = "REPLICATE API TOKEN"

zuck_bot = Llama2App()

# Embed your data
zuck_bot.add("https://www.youtube.com/watch?v=Ff4fRgnuFgQ")
zuck_bot.add("https://en.wikipedia.org/wiki/Mark_Zuckerberg")

# Nice, your bot is ready now. Start asking questions to your bot.
zuck_bot.query("Who is Mark Zuckerberg?")
# Answer: Mark Zuckerberg is an American internet entrepreneur and business magnate. He is the co-founder and CEO of Facebook.
```


## 🔍 Demo

Try out embedchain in your browser:
Expand All @@ -51,6 +28,16 @@ The documentation for embedchain can be found at [docs.embedchain.ai](https://do

Embedchain empowers you to create chatbot models similar to ChatGPT, using your own evolving dataset.

### Data Types Supported

* Youtube video
* PDF file
* Web page
* Sitemap
* Doc file
* Code documentation website loader
* Notion

### Queries

For example, you can use Embedchain to create an Elon Musk bot using the following code:
Expand Down