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[Docs]: Clean up docs (#802)

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This commit is contained in:
Deshraj Yadav
2023-10-14 19:14:24 -07:00
committed by GitHub
parent 4a8c50f886
commit 77c90a308e
14 changed files with 120 additions and 304 deletions
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5
docs/get-started/introduction.mdx
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@@ -1,6 +1,6 @@
---
title: 📚 Introduction
description: '📝 Embedchain is a framework to easily create LLM powered apps on your data.'
description: '📝 Embedchain is a Data Platform for LLMs - load, index, retrieve, and sync any unstructured data'
---
## 🤔 What is Embedchain?
@@ -27,9 +27,6 @@ naval_bot.add(("Who is Naval Ravikant?", "Naval Ravikant is an Indian-American e
naval_bot.query("What unique capacity does Naval argue humans possess when it comes to understanding explanations or concepts?")
# Answer: Naval argues that humans possess the unique capacity to understand explanations or concepts to the maximum extent possible in this physical reality.
# Ask questions with specific context
naval_bot.query("What unique capacity does Naval argue humans possess when it comes to understanding explanations or concepts?", where={'chapter': 'philosophy'})
```
## 🚀 How it works?

10
docs/get-started/quickstart.mdx
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@@ -3,6 +3,8 @@ title: '🚀 Quickstart'
description: '💡 Start building LLM powered apps under 30 seconds'
---
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.
Install embedchain python package:
```bash
@@ -20,9 +22,11 @@ app = App()
</Step>
<Step title="🗃️ Add data sources">
```python
# Embed online resources
# Add different data sources
elon_bot.add("https://en.wikipedia.org/wiki/Elon_Musk")
elon_bot.add("https://www.forbes.com/profile/elon-musk")
# You can also add local data sources such as pdf, csv files etc.
# elon_bot.add("/path/to/file.pdf")
```
</Step>
<Step title="💬 Query or chat on your data and get answers">
@@ -42,9 +46,11 @@ from embedchain import App
os.environ["OPENAI_API_KEY"] = "xxx"
elon_bot = App()
# Embed online resources
# Add different data sources
elon_bot.add("https://en.wikipedia.org/wiki/Elon_Musk")
elon_bot.add("https://www.forbes.com/profile/elon-musk")
# You can also add local data sources such as pdf, csv files etc.
# elon_bot.add("/path/to/file.pdf")
response = elon_bot.query("What is the net worth of Elon Musk today?")
print(response)