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@@ -14,29 +14,6 @@ Embedchain is a framework to easily create LLM powered bots over any dataset. If
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pip install embedchain
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```
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-## 🔥 Latest
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-
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-- **[2023/07/19]** Released support for 🦙 `llama2` model. Start creating your `llama2` based bots like this:
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-
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- ```python
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- import os
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-
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- from embedchain import Llama2App
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-
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- os.environ['REPLICATE_API_TOKEN'] = "REPLICATE API TOKEN"
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-
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- zuck_bot = Llama2App()
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-
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- # Embed your data
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- zuck_bot.add("https://www.youtube.com/watch?v=Ff4fRgnuFgQ")
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- zuck_bot.add("https://en.wikipedia.org/wiki/Mark_Zuckerberg")
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-
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- # Nice, your bot is ready now. Start asking questions to your bot.
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- zuck_bot.query("Who is Mark Zuckerberg?")
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- # Answer: Mark Zuckerberg is an American internet entrepreneur and business magnate. He is the co-founder and CEO of Facebook.
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- ```
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-
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-
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## 🔍 Demo
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Try out embedchain in your browser:
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@@ -51,6 +28,16 @@ The documentation for embedchain can be found at [docs.embedchain.ai](https://do
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Embedchain empowers you to create chatbot models similar to ChatGPT, using your own evolving dataset.
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+### Data Types Supported
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+
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+* Youtube video
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+* PDF file
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+* Web page
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+* Sitemap
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+* Doc file
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+* Code documentation website loader
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+* Notion
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+
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### Queries
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For example, you can use Embedchain to create an Elon Musk bot using the following code:
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Taranjeet Singh