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-# embedchain
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-[](https://pypi.org/project/embedchain/)
-[](https://join.slack.com/t/embedchain/shared_invite/zt-22uwz3c46-Zg7cIh5rOBteT_xe1jwLDw)
-[](https://discord.gg/CUU9FPhRNt)
-[](https://twitter.com/embedchain)
-[](https://embedchain.substack.com/)
-[](https://colab.research.google.com/drive/138lMWhENGeEu7Q1-6lNbNTHGLZXBBz_B?usp=sharing)
-[](https://codecov.io/gh/embedchain/embedchain)
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-Embedchain is a Data Platform for LLMs - load, index, retrieve, and sync any unstructured data. Using embedchain, you can easily create LLM powered apps over any data. If you want a javascript version, check out [embedchain-js](https://github.com/embedchain/embedchain/tree/main/embedchain-js)
+
-## Community
-
-* Join embedchain community on slack by accepting [this invite](https://join.slack.com/t/embedchain/shared_invite/zt-22uwz3c46-Zg7cIh5rOBteT_xe1jwLDw)
-
-## 🤝 Schedule a 1-on-1 Session
-
-Book a [1-on-1 Session](https://cal.com/taranjeetio/ec) with Taranjeet, the founder, to discuss any issues, provide feedback, or explore how we can improve Embedchain for you.
+## What is Embedchain?
+Embedchain is a Data Platform for Large Language Models (LLMs). Seamlessly load, index, retrieve, and sync unstructured data to build dynamic, LLM-powered applications. Check out [embedchain-js](https://github.com/embedchain/embedchain/tree/main/embedchain-js) for a JavaScript implementation.
## 🔧 Quick install
+### Python API
```bash
pip install --upgrade embedchain
```
-To run Embedchain as a REST API server run the following command:
+### REST API
+You can also run Embedchain as a REST API server using the following command:
```bash
-docker run -d --name embedchain -p 8080:8080 embedchain/rest-api:latest
+docker run --name embedchain -p 8080:8080 embedchain/rest-api:latest
```
-Navigate to http://0.0.0.0:8080/docs to interact with the API.
+Then, navigate to http://0.0.0.0:8080/docs to interact with the API.
-## 🔍 Demo
+## 🔍 Usage and Demo
-Try out embedchain in your browser:
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-[](https://colab.research.google.com/drive/17ON1LPonnXAtLaZEebnOktstB_1cJJmh?usp=sharing)
-
-## 📖 Documentation
-
-The documentation for embedchain can be found at [docs.embedchain.ai](https://docs.embedchain.ai).
-
-## 💻 Usage
-
-Embedchain empowers you to create ChatGPT like apps, on your own dynamic dataset.
-
-### Data types supported
-
-* Youtube video
-* PDF file
-* CSV file
-* Web page
-* MDX file
-* XML file
-* Sitemap
-* Doc file
-* Notion
-* JSON file
-* OpenAPI specs
-* Code docs website
-* Unstructured file loader and many more
-
-You can find the full list of data types on [our documentation](https://docs.embedchain.ai/data-sources/).
-
-### Queries
-
-For example, you can use Embedchain to create an Elon Musk bot using the following code:
+For example, you can create an Elon Musk bot using the following code:
```python
import os
@@ -99,35 +89,27 @@ app.deploy()
# ✅ Data of type: web_page, value: https://www.forbes.com/profile/elon-musk added successfully.
```
-## Examples
+You can also try it in your browser with Google Colab:
-| LLM | Google Colab | Replit |
-|--------------|---------------|----------|
-| OpenAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/openai.ipynb) | [](https://replit.com/@taranjeetio/openai#main.py) |
-| Anthropic | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/anthropic.ipynb) | [](https://replit.com/@taranjeetio/anthropic#main.py) |
-| Azure OpenAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/azure-openai.ipynb) | [](https://replit.com/@taranjeetio/azureopenai#main.py) |
-| VertexAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/vertex_ai.ipynb) | [](https://replit.com/@taranjeetio/vertexai#main.py) |
-| Cohere | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/cohere.ipynb) | [](https://replit.com/@taranjeetio/cohere#main.py) |
-| Hugging Face | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/hugging_face_hub.ipynb) | [](https://replit.com/@taranjeetio/huggingface#main.py) |
-| JinaChat | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/jina.ipynb) | [](https://replit.com/@taranjeetio/jina#main.py) |
-| GPT4All | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/gpt4all.ipynb) | [](https://replit.com/@taranjeetio/gpt4all#main.py) |
-| Llama2 | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/llama2.ipynb) | [](https://replit.com/@taranjeetio/llama2#main.py) |
+[](https://colab.research.google.com/drive/17ON1LPonnXAtLaZEebnOktstB_1cJJmh?usp=sharing)
-| Embedding model | Google Colab | Replit |
-| ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
-| OpenAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/openai.ipynb) | [](https://replit.com/@taranjeetio/openai#main.py) |
-| VertexAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/vertex_ai.ipynb) | [](https://replit.com/@taranjeetio/vertexai#main.py) |
-| GPT4All | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/gpt4all.ipynb) | [](https://replit.com/@taranjeetio/gpt4all#main.py) |
-| Hugging Face | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/hugging_face_hub.ipynb) | [](https://replit.com/@taranjeetio/huggingface#main.py) |
+## 📖 Documentation
+Comprehensive guides and API documentation are available to help you get the most out of Embedchain:
-| Vector DB | Google Colab | Replit |
-| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------- |
-| ChromaDB | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/chromadb.ipynb) | [](https://replit.com/@taranjeetio/chromadb#main.py) |
-| Elasticsearch | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/elasticsearch.ipynb) | [](https://replit.com/@taranjeetio/elasticsearchdb#main.py) |
-| Opensearch | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/opensearch.ipynb) | [](https://replit.com/@taranjeetio/opensearchdb#main.py) |
-| Pinecone | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/pinecone.ipynb) | [](https://replit.com/@taranjeetio/pineconedb#main.py) |
+- [Getting Started](https://docs.embedchain.ai/get-started/quickstart)
+- [Introduction](https://docs.embedchain.ai/get-started/introduction#what-is-embedchain)
+- [Examples](https://docs.embedchain.ai/get-started/examples)
+- [Supported data types](https://docs.embedchain.ai/data-sources/)
-## 🤝 Contributing
+## 🔗 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). Dive into discussions, ask questions, and share your experiences.
+
+## 🤝 Schedule a 1-on-1 Session
+
+Book a [1-on-1 Session](https://cal.com/taranjeetio/ec) with Taranjeet, the founder, to discuss any issues, provide feedback, or explore how we can improve Embedchain for you.
+
+## 🌐 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](CONTRIBUTING.md).
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