|
@@ -13,17 +13,17 @@
|
|
|
<a href="https://pepy.tech/project/embedchain">
|
|
|
<img src="https://static.pepy.tech/badge/embedchain" alt="Downloads">
|
|
|
</a>
|
|
|
- <a href="https://join.slack.com/t/embedchain/shared_invite/zt-22uwz3c46-Zg7cIh5rOBteT_xe1jwLDw">
|
|
|
+ <a href="https://embedchain.ai/slack">
|
|
|
<img src="https://img.shields.io/badge/slack-embedchain-brightgreen.svg?logo=slack" alt="Slack">
|
|
|
</a>
|
|
|
- <a href="https://discord.gg/CUU9FPhRNt">
|
|
|
+ <a href="https://embedchain.ai/discord">
|
|
|
<img src="https://dcbadge.vercel.app/api/server/6PzXDgEjG5?style=flat" alt="Discord">
|
|
|
</a>
|
|
|
<a href="https://twitter.com/embedchain">
|
|
|
<img src="https://img.shields.io/twitter/follow/embedchain" alt="Twitter">
|
|
|
</a>
|
|
|
<a href="https://colab.research.google.com/drive/138lMWhENGeEu7Q1-6lNbNTHGLZXBBz_B?usp=sharing">
|
|
|
- <img src="https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667" alt="Open in Colab">
|
|
|
+ <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab">
|
|
|
</a>
|
|
|
<a href="https://codecov.io/gh/embedchain/embedchain">
|
|
|
<img src="https://codecov.io/gh/embedchain/embedchain/graph/badge.svg?token=EMRRHZXW1Q" alt="codecov">
|
|
@@ -44,6 +44,7 @@ Embedchain streamlines the creation of RAG applications, offering a seamless pro
|
|
|
## 🔧 Quick install
|
|
|
|
|
|
### Python API
|
|
|
+
|
|
|
```bash
|
|
|
pip install embedchain
|
|
|
```
|
|
@@ -63,7 +64,7 @@ For example, you can create an Elon Musk bot using the following code:
|
|
|
|
|
|
```python
|
|
|
import os
|
|
|
-from embedchain import App
|
|
|
+from embedchain import Pipeline as App
|
|
|
|
|
|
# Create a bot instance
|
|
|
os.environ["OPENAI_API_KEY"] = "YOUR API KEY"
|
|
@@ -80,7 +81,7 @@ elon_bot.query("How many companies does Elon Musk run and name those?")
|
|
|
|
|
|
You can also try it in your browser with Google Colab:
|
|
|
|
|
|
-[](https://colab.research.google.com/drive/17ON1LPonnXAtLaZEebnOktstB_1cJJmh?usp=sharing)
|
|
|
+[](https://colab.research.google.com/drive/17ON1LPonnXAtLaZEebnOktstB_1cJJmh?usp=sharing)
|
|
|
|
|
|
## 📖 Documentation
|
|
|
Comprehensive guides and API documentation are available to help you get the most out of Embedchain:
|
|
@@ -92,7 +93,9 @@ Comprehensive guides and API documentation are available to help you get the mos
|
|
|
|
|
|
## 🔗 Join the Community
|
|
|
|
|
|
-Connect with fellow developers and users by joining our [Slack Workspace](https://join.slack.com/t/embedchain/shared_invite/zt-22uwz3c46-Zg7cIh5rOBteT_xe1jwLDw) or [Discord Community](https://discord.gg/CUU9FPhRNt). Dive into discussions, ask questions, and share your experiences.
|
|
|
+* Connect with fellow developers by joining our [Slack Community](https://embedchain.ai/slack) or [Discord Community](https://embedchain.ai/discord).
|
|
|
+
|
|
|
+* Dive into [GitHub Discussions](https://github.com/embedchain/embedchain/discussions), ask questions, or share your experiences.
|
|
|
|
|
|
## 🤝 Schedule a 1-on-1 Session
|
|
|
|
|
@@ -120,7 +123,7 @@ If you utilize this repository, please consider citing it with:
|
|
|
```
|
|
|
@misc{embedchain,
|
|
|
author = {Taranjeet Singh, Deshraj Yadav},
|
|
|
- title = {Embedchain: Data platform for LLMs - load, index, retrieve, and sync any unstructured data},
|
|
|
+ title = {Embedchain: The Open Source RAG Framework},
|
|
|
year = {2023},
|
|
|
publisher = {GitHub},
|
|
|
journal = {GitHub repository},
|