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Taranjeet Singh 2db07cdb1f docs: add gpt-4 as llm FAQ (#731)		1 tahun lalu
.github	aafb334916 fix: improve CTA of book meeting (#496)	2 tahun lalu
docs	2db07cdb1f docs: add gpt-4 as llm FAQ (#731)	1 tahun lalu
embedchain	16b0d5b829 Rename method _get_gpt4all_answer to _get_answer (#727)	1 tahun lalu
embedchain-js	3c3d98b9c3 feat: add embedchain javascript package (#576)	1 tahun lalu
examples	cb59b0b5e4 Bump embedchain package version in examples (#639)	1 tahun lalu
notebooks	96143ac496 docs: app config instead of init config (#308)	2 tahun lalu
tests	0f16c72762 fix: use openai llm via langchain (#670)	1 tahun lalu
.env.example	ac68986404 Add project tools and contributing guidelines (#281)	2 tahun lalu
.gitignore	c595003481 docs: setup docs for embedchain (#287)	2 tahun lalu
.pre-commit-config.yaml	ac68986404 Add project tools and contributing guidelines (#281)	2 tahun lalu
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CONTRIBUTING.md	c595003481 docs: setup docs for embedchain (#287)	2 tahun lalu
LICENSE	65d1ff37e8 Create LICENSE	2 tahun lalu
Makefile	414c69fd62 Add support for OpenSearch as vector database (#725)	1 tahun lalu
README.md	b1af82eba8 Changed Tesla url to Forbes Url (#615)	1 tahun lalu
poetry.toml	ac68986404 Add project tools and contributing guidelines (#281)	2 tahun lalu
pyproject.toml	6ae33d04b8 [OpenSearch] Add support for filtering docs based on app_id in opensearch db (#729)	1 tahun lalu

embedchain

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

🤝 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.

🔧 Quick install

pip install --upgrade embedchain

🔍 Demo

Try out embedchain in your browser:

📖 Documentation

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

💻 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.

🤝 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}},
}

README.md