> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dappier.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Replit
Idea to app, fast. Create beautiful, modern web applications at the speed of thought. Describe what you need and Replit's AI Agent builds it for you. Create & deploy websites, automations, internal tools, data pipelines and more in any programming language without setup, downloads or extra tools. All in a single cloud workspace with AI built in.
These below apps provide example projects and pre-built templates to help developers quickly integrate Dappier’s RAG models and build applications with ease in Replit's environment.
## Dappier Python Real Time Data
This template demonstrates how to use Dappier's Real Time Data models in a Python project. You can check out the app on Replit here:
[Check out the app on Replit](https://replit.com/@dappier/Dappier-Python-Real-Time-Data?v=1)
## Watch the Video Guide
If you prefer a visual walkthrough, check out the accompanying video guide below:
## Getting Started
1. **Sign up for a Dappier account:** [https://platform.dappier.com/sign-in](https://platform.dappier.com/sign-in)
2. **Create an API key:**
* Go to your profile and click "API Keys"
* Click "Create API key"
3. **Add the API key as a secret in Replit:**
* Go to the Secrets Tool
* Add a new secret called `DAPPIER_API_KEY` and paste your API key
4. **Run the code:**
* Click the "Run" button in the top right corner
## Usage
```python Python theme={null}
response = app.search_real_time_data(
query="What is the stock price of Apple ?",
ai_model_id="am_01j06ytn18ejftedz6dyhz2b15"
)
```
## Parameters
#### `query` (str):
* The user-provided query. Examples include:
* `"How is the weather today in Austin, TX?"`
* `"What is the latest news for Meta?"`
* `"What is the stock price for AAPL?"`
#### `ai_model_id` (str):
* The AI model ID to use for the query.
* AI model IDs always start with the prefix `"am_"`.
* Multiple AI model IDs are available, which can be found at [Dappier marketplace.](https://platform.dappier.com/marketplace)
***
## Dappier Python AI Recommendations
This template demonstrates how to use Dappier's AI Recommendations models in a Python project. Check out the app on Replit here:
[Check out the app on Replit](https://replit.com/@dappier/Dappier-Python-AI-Recommendations?v=1)
## Watch the Video Guide
If you prefer a visual walkthrough, check out the accompanying video guide below:
## Getting Started
1. **Sign up for a Dappier account:** [https://platform.dappier.com/sign-in](https://platform.dappier.com/sign-in)
2. **Create an API key:**
* Go to your profile and click "API Keys"
* Click "Create API key"
3. **Add the API key as a secret in Replit:**
* Go to the Secrets Tool
* Add a new secret called `DAPPIER_API_KEY` and paste your API key
4. **Run the code:**
* Click the "Run" button in the top right corner
## Usage
```python Python theme={null}
response = app.get_ai_recommendations(
query="latest sports news",
data_model_id="dm_01j0pb465keqmatq9k83dthx34",
similarity_top_k=5,
ref="sportsnaut.com",
num_articles_ref=2,
search_algorithm="most_recent"
)
```
### Parameters
#### `query` (str):
* The user query for retrieving recommendations.
#### `data_model_id` (str):
* The data model ID to use for recommendations.
* Data model IDs always start with the prefix `"dm_"`.
#### `similarity_top_k` (int) *Optional*:
* The number of top documents to retrieve based on similarity.
* Defaults to `9`.
#### `ref` (str) *Optional*:
* The site domain where AI recommendations should be displayed.
* Defaults to `None`.
#### `num_articles_ref` (int) *Optional*:
* The minimum number of articles to return from the specified reference domain (`ref`).
* The remaining articles will come from other sites in the RAG model.
* Defaults to `0`.
#### `search_algorithm` (str) *Optional*:
* The search algorithm to use for retrieving articles.
* Options:
* `"most_recent"` (default),
* `"semantic"`,
* `"most_recent_semantic"`,
* `"trending"`.
***
# Conclusion
With Replit’s powerful cloud-based development environment and **Dappier’s** robust real-time data models, developers can rapidly prototype and deploy applications with ease. The provided SDKs and templates enable seamless integration of **Dappier's** RAG models into your projects, allowing you to quickly harness AI-driven insights for dynamic, real-time solutions. Whether you're building data-driven applications, AI recommendations, or dynamic travel planners, these tools offer everything you need to get started fast and efficiently.
Check out the linked Replit apps and start building your next AI-powered project with **Dappier**'s real-time data models today!