Embedchain is a framework to easily create LLM powered bots over any dataset. If you want a javascript version, check out embedchain-js

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Book a 1-on-1 Session with Taranjeet, the founder, to discuss any issues, provide feedback, or explore how we can improve Embedchain for you.

pip install --upgrade embedchain

Try out embedchain in your browser:

The documentation for embedchain can be found at docs.embedchain.ai.

Embedchain empowers you to create ChatGPT like apps, on your own dynamic dataset.

• Youtube video
• PDF file
• Web page
• Sitemap
• Doc file
• Code documentation website loader
• Notion and many more.

You can find the full list of data types on our documentation.

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

import os
from embedchain import App

# Create a bot instance
os.environ["OPENAI_API_KEY"] = "YOUR API KEY"
elon_bot = App()

# Embed online resources
elon_bot.add("https://en.wikipedia.org/wiki/Elon_Musk")
elon_bot.add("https://www.forbes.com/profile/elon-musk")
elon_bot.add("https://www.youtube.com/watch?v=RcYjXbSJBN8")

# Query the bot
elon_bot.query("How many companies does Elon Musk run and name those?")
# Answer: Elon Musk currently runs several companies. As of my knowledge, he is the CEO and lead designer of SpaceX, the CEO and product architect of Tesla, Inc., the CEO and founder of Neuralink, and the CEO and founder of The Boring Company. However, please note that this information may change over time, so it's always good to verify the latest updates.

Contributions are welcome! Please check out the issues on the repository, and feel free to open a pull request. For more information, please see the contributing guidelines.

For more reference, please go through Development Guide and Documentation Guide.

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},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/embedchain/embedchain}},
}