andre/crewAI
1
0
Fork 0
mirror of https://github.com/crewAIInc/crewAI.git synced 2026-07-05 15:09:22 +00:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

docs: remove key features section for dappier tools

Browse Source
This commit is contained in:
amaan-ai20
2025-01-27 15:26:49 +05:30
parent 41516f0e1d
commit bb4501ca78
2 changed files with 0 additions and 46 deletions
Download Patch File Download Diff File Expand all files Collapse all files

27
docs/tools/dappierairecommendationstool.mdx
View File

@@ -8,33 +8,6 @@ icon: message
[Dappier](https://dappier.com) connects any LLM or your Agentic AI to real-time, rights-cleared, proprietary data from trusted sources, making your AI an expert in anything. Our specialized models include Real-Time Web Search, News, Sports, Financial Stock Market Data, Crypto Data, and exclusive content from premium publishers. Explore a wide range of data models in our marketplace at [marketplace.dappier.com](https://marketplace.dappier.com).
## Key Features:
- **AI-Powered Recommendations**:
Search for recommendations in a wide variety of topics, including Sports, Lifestyle News, and niche topics like I Heart Dogs and WishTV, powered by advanced AI models.
- **Customizable Data Model**:
Use different data models to tailor recommendations to specific interests. The tool supports a wide range of pre-configured models, and the model ID can be customized for different types of recommendations.
- **Flexible Search Algorithms**:
Choose between several search algorithms, including:
- `most_recent`: Retrieve the latest articles.
- `semantic`: Retrieve articles based on semantic similarity to the query.
- `most_recent_semantic`: Combine both the most recent and semantic search methods.
- `trending`: Get trending articles based on user interest and activity.
- **Top-K Document Retrieval**:
Control the number of results returned by setting the `similarity_top_k` parameter, ensuring that the most relevant content is retrieved based on similarity.
- **Reference Site Customization**:
Optionally specify a reference domain (`ref`) where AI recommendations should be displayed. You can also control the number of articles returned from the reference site (`num_articles_ref`), while the remaining articles will come from other sources in the RAG model.
- **Real-Time AI Recommendations**:
Leverage real-time AI-powered recommendations to stay up-to-date with the latest articles, news, and trends across your preferred categories.
For more information about Dappier, please visit the [Dappier website](https://dappier.com) or if you want to check out the docs, you can visit the [Dappier docs](https://docs.dappier.com).
## Installation
- Head to [Dappier](https://platform.dappier.com/profile/api-keys) to sign up and generate an API key. Once you've done this set the `DAPPIER_API_KEY` environment variable or you can pass it to the `DappierAIRecommendationsTool` constructor.

19
docs/tools/dappierrealtimesearchtool.mdx
View File

@@ -8,25 +8,6 @@ icon: message
[Dappier](https://dappier.com) connects any LLM or your Agentic AI to real-time, rights-cleared, proprietary data from trusted sources, making your AI an expert in anything. Our specialized models include Real-Time Web Search, News, Sports, Financial Stock Market Data, Crypto Data, and exclusive content from premium publishers. Explore a wide range of data models in our marketplace at [marketplace.dappier.com](https://marketplace.dappier.com).
## Key Features:
- **Real-Time Web Search Results**:
Fetch up-to-date search results from Google, including the latest news, weather updates, travel information, and deals.
- **Stock Market and Financial Data**:
Retrieve real-time financial news, stock prices, and trades powered by Polygon.io, along with AI-powered insights for better decision-making in the financial domain.
- **Comprehensive Data Access**:
Access a wide range of data from trusted, proprietary sources, including premium content from leading publishers across verticals like news, sports, finance, and weather.
- **LLM-Ready Retrieval-Augmented Generation (RAG) Models**:
Utilize pre-trained RAG models that ensure your AI-driven applications can return factual, relevant responses based on the most current data available.
- **Flexible API Integration**:
Integrate seamlessly with Dappier’s real-time data APIs to enhance your AI models and applications with up-to-date content from various sectors.
- **Scalable Data Queries**:
Tailor search queries to focus on specific data sources, enabling applications to respond to real-time demands in areas such as finance, sports, news, and weather.
For more information about Dappier, please visit the [Dappier website](https://dappier.com) or if you want to check out the docs, you can visit the [Dappier docs](https://docs.dappier.com).
## Installation
- Head to [Dappier](https://platform.dappier.com/profile/api-keys) to sign up and generate an API key. Once you've done this set the `DAPPIER_API_KEY` environment variable or you can pass it to the `DappierRealTimeSearchTool` constructor.