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-# embedchain
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-<a href="https://runacap.com/ross-index/q3-2023/" target="_blank" rel="noopener"><img style="width: 260px; height: 56px" src="https://runacap.com/wp-content/uploads/2023/10/ROSS_badge_black_Q3_2023.svg" alt="ROSS Index - Fastest Growing Open-Source Startups in Q3 2023 | Runa Capital" width="260" height="56"/></a>
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-
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-[](https://pypi.org/project/embedchain/)
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-[](https://join.slack.com/t/embedchain/shared_invite/zt-22uwz3c46-Zg7cIh5rOBteT_xe1jwLDw)
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-[](https://discord.gg/CUU9FPhRNt)
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-[](https://twitter.com/embedchain)
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-[](https://embedchain.substack.com/)
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-[](https://colab.research.google.com/drive/138lMWhENGeEu7Q1-6lNbNTHGLZXBBz_B?usp=sharing)
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-[](https://codecov.io/gh/embedchain/embedchain)
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-
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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)
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-
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-## Community
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-
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-* Join embedchain community on slack by accepting [this invite](https://join.slack.com/t/embedchain/shared_invite/zt-22uwz3c46-Zg7cIh5rOBteT_xe1jwLDw)
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-
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-## 🤝 Schedule a 1-on-1 Session
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-
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-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.
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+<p align="center">
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+ <img src="docs/logo/dark.svg" width="400px" alt="Embedchain Logo">
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+</p>
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+
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+<p align="center">
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+ <a href="https://runacap.com/ross-index/q3-2023/" target="_blank" rel="noopener"><img style="width: 260px; height: 56px" src="https://runacap.com/wp-content/uploads/2023/10/ROSS_badge_black_Q3_2023.svg" alt="ROSS Index - Fastest Growing Open-Source Startups in Q3 2023 | Runa Capital" width="260" height="56"/></a>
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+</p>
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+
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+<p align="center">
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+ <a href="https://pypi.org/project/embedchain/">
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+ <img src="https://img.shields.io/pypi/v/embedchain" alt="PyPI">
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+ </a>
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+ <a href="https://join.slack.com/t/embedchain/shared_invite/zt-22uwz3c46-Zg7cIh5rOBteT_xe1jwLDw">
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+ <img src="https://img.shields.io/badge/slack-embedchain-brightgreen.svg?logo=slack" alt="Slack">
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+ </a>
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+ <a href="https://discord.gg/CUU9FPhRNt">
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+ <img src="https://dcbadge.vercel.app/api/server/6PzXDgEjG5?style=flat" alt="Discord">
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+ </a>
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+ <a href="https://twitter.com/embedchain">
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+ <img src="https://img.shields.io/twitter/follow/embedchain" alt="Twitter">
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+ </a>
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+ <a href="https://embedchain.substack.com/">
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+ <img src="https://img.shields.io/badge/Substack-%23006f5c.svg?logo=substack" alt="Substack">
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+ </a>
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+ <a href="https://colab.research.google.com/drive/138lMWhENGeEu7Q1-6lNbNTHGLZXBBz_B?usp=sharing">
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+ <img src="https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667" alt="Open in Colab">
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+ </a>
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+ <a href="https://codecov.io/gh/embedchain/embedchain">
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+ <img src="https://codecov.io/gh/embedchain/embedchain/graph/badge.svg?token=EMRRHZXW1Q" alt="codecov">
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+ </a>
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+</p>
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+
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+<hr />
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+
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+## What is Embedchain?
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+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.
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## 🔧 Quick install
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+### Python API
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```bash
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pip install --upgrade embedchain
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```
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-To run Embedchain as a REST API server run the following command:
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+### REST API
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+You can also run Embedchain as a REST API server using the following command:
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```bash
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-docker run -d --name embedchain -p 8080:8080 embedchain/rest-api:latest
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+docker run --name embedchain -p 8080:8080 embedchain/rest-api:latest
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```
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-Navigate to http://0.0.0.0:8080/docs to interact with the API.
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-
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-## 🔍 Demo
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-
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-Try out embedchain in your browser:
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-
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-[](https://colab.research.google.com/drive/17ON1LPonnXAtLaZEebnOktstB_1cJJmh?usp=sharing)
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-
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-## 📖 Documentation
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-
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-The documentation for embedchain can be found at [docs.embedchain.ai](https://docs.embedchain.ai).
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+Then, navigate to http://0.0.0.0:8080/docs to interact with the API.
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-## 💻 Usage
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+## 🔍 Usage and Demo
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-Embedchain empowers you to create ChatGPT like apps, on your own dynamic dataset.
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+<!-- Demo GIF or Image -->
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+<p align="center">
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+ <img src="docs/images/cover.gif" width="900px" alt="Embedchain Demo">
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+</p>
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-### Data types supported
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-
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-* Youtube video
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-* PDF file
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-* CSV file
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-* Web page
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-* MDX file
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-* XML file
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-* Sitemap
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-* Doc file
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-* Notion
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-* JSON file
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-* OpenAPI specs
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-* Code docs website
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-* Unstructured file loader and many more
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-
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-You can find the full list of data types on [our documentation](https://docs.embedchain.ai/data-sources/).
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-
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-### Queries
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-
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-For example, you can use Embedchain to create an Elon Musk bot using the following code:
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+For example, you can create an Elon Musk bot using the following code:
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```python
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import os
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@@ -99,35 +89,27 @@ app.deploy()
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# ✅ Data of type: web_page, value: https://www.forbes.com/profile/elon-musk added successfully.
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```
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-## Examples
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-
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-| LLM | Google Colab | Replit |
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-|--------------|---------------|----------|
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-| OpenAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/openai.ipynb) | [](https://replit.com/@taranjeetio/openai#main.py) |
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-| Anthropic | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/anthropic.ipynb) | [](https://replit.com/@taranjeetio/anthropic#main.py) |
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-| Azure OpenAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/azure-openai.ipynb) | [](https://replit.com/@taranjeetio/azureopenai#main.py) |
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-| VertexAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/vertex_ai.ipynb) | [](https://replit.com/@taranjeetio/vertexai#main.py) |
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-| Cohere | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/cohere.ipynb) | [](https://replit.com/@taranjeetio/cohere#main.py) |
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-| Hugging Face | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/hugging_face_hub.ipynb) | [](https://replit.com/@taranjeetio/huggingface#main.py) |
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-| JinaChat | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/jina.ipynb) | [](https://replit.com/@taranjeetio/jina#main.py) |
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-| GPT4All | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/gpt4all.ipynb) | [](https://replit.com/@taranjeetio/gpt4all#main.py) |
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-| Llama2 | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/llama2.ipynb) | [](https://replit.com/@taranjeetio/llama2#main.py) |
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-
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-| Embedding model | Google Colab | Replit |
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-| ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
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-| OpenAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/openai.ipynb) | [](https://replit.com/@taranjeetio/openai#main.py) |
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-| VertexAI | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/vertex_ai.ipynb) | [](https://replit.com/@taranjeetio/vertexai#main.py) |
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-| GPT4All | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/gpt4all.ipynb) | [](https://replit.com/@taranjeetio/gpt4all#main.py) |
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-| Hugging Face | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/hugging_face_hub.ipynb) | [](https://replit.com/@taranjeetio/huggingface#main.py) |
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-
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-| Vector DB | Google Colab | Replit |
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-| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------- |
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-| ChromaDB | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/chromadb.ipynb) | [](https://replit.com/@taranjeetio/chromadb#main.py) |
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-| Elasticsearch | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/elasticsearch.ipynb) | [](https://replit.com/@taranjeetio/elasticsearchdb#main.py) |
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-| Opensearch | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/opensearch.ipynb) | [](https://replit.com/@taranjeetio/opensearchdb#main.py) |
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-| Pinecone | [](https://colab.research.google.com/github/embedchain/embedchain/blob/main/notebooks/pinecone.ipynb) | [](https://replit.com/@taranjeetio/pineconedb#main.py) |
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-
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-## 🤝 Contributing
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+You can also try it in your browser with Google Colab:
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+
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+[](https://colab.research.google.com/drive/17ON1LPonnXAtLaZEebnOktstB_1cJJmh?usp=sharing)
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+
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+## 📖 Documentation
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+Comprehensive guides and API documentation are available to help you get the most out of Embedchain:
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+
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+- [Getting Started](https://docs.embedchain.ai/get-started/quickstart)
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+- [Introduction](https://docs.embedchain.ai/get-started/introduction#what-is-embedchain)
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+- [Examples](https://docs.embedchain.ai/get-started/examples)
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+- [Supported data types](https://docs.embedchain.ai/data-sources/)
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+
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+## 🔗 Join the Community
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+
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+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.
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+
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+## 🤝 Schedule a 1-on-1 Session
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+
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+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.
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+
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+## 🌐 Contributing
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Contributions are welcome! Please check out the issues on the repository, and feel free to open a pull request.
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For more information, please see the [contributing guidelines](CONTRIBUTING.md).
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