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embedchain

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

Community

  • Join embedchain community on slack by accepting this invite

๐Ÿค Schedule a 1-on-1 Session

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.

๐Ÿ”ง Quick install

pip install --upgrade embedchain

๐Ÿ” Demo

Try out embedchain in your browser:

Open in Colab

๐Ÿ“– Documentation

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

๐Ÿ’ป Usage

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:

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=MxZpaJK74Y4")

# 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.

๐Ÿค Contributing

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.

Citation

If you utilize this repository, please consider citing it with:

@misc{embedchain,
  author = {Taranjeet Singh},
  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}},
}

embedchain's People

Contributors

taranjeet avatar cachho avatar deshraj avatar aaishikdutta avatar dev-khant avatar sahilyadav902 avatar aryankhanna475 avatar ianupamsingh avatar dtee1 avatar jonasiwnl avatar rayhanpatel avatar ahnedeee avatar gasolin avatar sw8fbar avatar alessandropanzieri avatar satya131113 avatar candidosales avatar girish-07 avatar harin329 avatar eltociear avatar jesse-c avatar josephchancey avatar pecunia201 avatar lvpx avatar mark-watson avatar mrbusche avatar 1mikemakuch avatar naman09 avatar pc9 avatar mark-zeng avatar

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