docs: setup docs for embedchain (#287)

docs/contribution/dev.mdx

@@ -0,0 +1,60 @@
+---
+title: '👨‍💻 Development'
+description: 'Contribute to Embedchain framework development'
+---
+
+Thank you for your interest in contributing to the EmbedChain project! We welcome your ideas and contributions to help improve the project. Please follow the instructions below to get started:
+
+1. **Fork the repository**: Click on the "Fork" button at the top right corner of this repository page. This will create a copy of the repository in your own GitHub account.
+
+2. **Install the required dependencies**: Ensure that you have the necessary dependencies installed in your Python environment. You can do this by running the following command:
+
+```bash
+make install
+```
+
+3. **Make changes in the code**: Create a new branch in your forked repository and make your desired changes in the codebase.
+4. **Format code**: Before creating a pull request, it's important to ensure that your code follows our formatting guidelines. Run the following commands to format the code:
+
+```bash
+make lint format
+```
+
+5. **Create a pull request**: When you are ready to contribute your changes, submit a pull request to the EmbedChain repository. Provide a clear and descriptive title for your pull request, along with a detailed description of the changes you have made.
+
+# Tech Stack
+
+embedchain is built on the following stack:
+
+- [Langchain](https://github.com/hwchase17/langchain) as an LLM framework to load, chunk and index data
+- [OpenAI's Ada embedding model](https://platform.openai.com/docs/guides/embeddings) to create embeddings
+- [OpenAI's ChatGPT API](https://platform.openai.com/docs/guides/gpt/chat-completions-api) as LLM to get answers given the context
+- [Chroma](https://github.com/chroma-core/chroma) as the vector database to store embeddings
+- [gpt4all](https://github.com/nomic-ai/gpt4all) as an open source LLM
+- [sentence-transformers](https://huggingface.co/sentence-transformers) as open source embedding model
+
+## Team
+
+### Author
+
+- Taranjeet Singh ([@taranjeetio](https://twitter.com/taranjeetio))
+
+### Maintainer
+
+- Deshraj Yadav ([@deshrajdry](https://twitter.com/taranjeetio))
+- [cachho](https://github.com/cachho)
+
+### Citation
+
+If you utilize this repository, please consider citing it with:
+
+```
+@misc{embedchain,
+  author = {Taranjeet Singh},
+  title = {Embechain: Framework to easily create LLM powered bots over any dataset},
+  year = {2023},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/embedchain/embedchain}},
+}
+```

docs/contribution/docs.mdx

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+---
+title: '📝 Documentation'
+description: 'Contribute to Embedchain docs'
+---
+
+<Info>
+  **Prerequisite** You should have installed Node.js (version 18.10.0 or
+  higher).
+</Info>
+
+Step 1. Install Mintlify on your OS:
+
+<CodeGroup>
+
+```bash npm
+npm i -g mintlify
+```
+
+```bash yarn
+yarn global add mintlify
+```
+
+</CodeGroup>
+
+Step 2. Go to the `docs/` directory (where you can find `mint.json`) and run the following command:
+
+```bash
+mintlify dev
+```
+
+The documentation website is now available at `http://localhost:3000`.
+
+### Custom Ports
+
+Mintlify uses port 3000 by default. You can use the `--port` flag to customize the port Mintlify runs on. For example, use this command to run in port 3333:
+
+```bash
+mintlify dev --port 3333
+```
+
+You will see an error like this if you try to run Mintlify in a port that's already taken:
+
+```md
+Error: listen EADDRINUSE: address already in use :::3000
+```
+
+## Mintlify Versions
+
+Each CLI is linked to a specific version of Mintlify. Please update the CLI if your local website looks different than production.
+
+<CodeGroup>
+
+```bash npm
+npm i -g mintlify@latest
+```
+
+```bash yarn
+yarn global upgrade mintlify
+```
+
+</CodeGroup>