Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

embedchain/docs/get-started/quickstart.mdx

@@ -0,0 +1,89 @@
+---
+title: '⚡ Quickstart'
+description: '💡 Create an AI app on your own data in a minute'
+---
+
+## Installation
+
+First install the Python package:
+
+```bash
+pip install embedchain
+```
+
+Once you have installed the package, depending upon your preference you can either use:
+
+<CardGroup cols={2}>
+  <Card title="Open Source Models" icon="osi" href="#open-source-models">
+  This includes Open source LLMs like Mistral, Llama, etc.<br/>
+  Free to use, and runs locally on your machine.
+  </Card>
+  <Card title="Paid Models" icon="dollar-sign" href="#paid-models" color="#4A154B">
+    This includes paid LLMs like GPT 4, Claude, etc.<br/>
+    Cost money and are accessible via an API.
+  </Card>
+</CardGroup>
+
+## Open Source Models
+
+This section gives a quickstart example of using Mistral as the Open source LLM and Sentence transformers as the Open source embedding model. These models are free and run mostly on your local machine.
+
+We are using Mistral hosted at Hugging Face, so will you need a Hugging Face token to run this example. Its *free* and you can create one [here](https://huggingface.co/docs/hub/security-tokens).
+
+<CodeGroup>
+```python huggingface_demo.py
+import os
+# Replace this with your HF token
+os.environ["HUGGINGFACE_ACCESS_TOKEN"] = "hf_xxxx"
+
+from embedchain import App
+
+config = {
+  'llm': {
+    'provider': 'huggingface',
+    'config': {
+      'model': 'mistralai/Mistral-7B-Instruct-v0.2',
+      'top_p': 0.5
+    }
+  },
+  'embedder': {
+    'provider': 'huggingface',
+    'config': {
+      'model': 'sentence-transformers/all-mpnet-base-v2'
+    }
+  }
+}
+app = App.from_config(config=config)
+app.add("https://www.forbes.com/profile/elon-musk")
+app.add("https://en.wikipedia.org/wiki/Elon_Musk")
+app.query("What is the net worth of Elon Musk today?")
+# Answer: The net worth of Elon Musk today is $258.7 billion.
+```
+</CodeGroup>
+
+## Paid Models
+
+In this section, we will use both LLM and embedding model from OpenAI.
+
+```python openai_demo.py
+import os
+from embedchain import App
+
+# Replace this with your OpenAI key
+os.environ["OPENAI_API_KEY"] = "sk-xxxx"
+
+app = App()
+app.add("https://www.forbes.com/profile/elon-musk")
+app.add("https://en.wikipedia.org/wiki/Elon_Musk")
+app.query("What is the net worth of Elon Musk today?")
+# Answer: The net worth of Elon Musk today is $258.7 billion.
+```
+
+# Next Steps
+
+Now that you have created your first app, you can follow any of the links:
+
+* [Introduction](/get-started/introduction)
+* [Customization](/components/introduction)
+* [Use cases](/use-cases/introduction)
+* [Deployment](/get-started/deployment)