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Add Dappier Search Tool #351
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Add Dappier Search Tool #351
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Hey Team. I would be happy to create templates and examples using this tool, please do let me know. |
hi @amaan-ai20! this is a great tool PR and excellent example! I just have the one question above and it looks good to merge :) |
Thank you! I have created more examples on our official documentation. Could you also please check these. Other resources by Dappier - Offiicial Integration with AgentStack - https://docs.dappier.com/integrations/agentstack-integration This is a related video to the stock research example if you have missed earlier - https://www.youtube.com/watch?v=HaUzCUNaRJ8 |
@bboynton97 Also, can you please fix this issue in the library if possible - #350 I think it's as easy as bumping up the crewai version. I can also try doing if it's okay. |
Description
Dappier is a platform that connects LLMs and Agentic AI agents to real-time, rights-cleared data from trusted sources, including web search, finance, and news. By providing enriched, prompt-ready data, Dappier empowers AI with verified and up-to-date information for a wide range of applications. Explore a wide range of data models in our marketplace at marketplace.dappier.com.
Summary:
This PR introduces new tools into the AgentStack ecosystem: to enables users to perform live queries for both general web content and stock market data, delivering real-time results such as breaking news, weather updates, travel insights, deals, and market movements.
Apart from these it also provides the ability to provide AI-powered, personalized article recommendations from a range of content domains. It supports multiple data models including Sports News, Lifestyle News, iHeartDogs, iHeartCats, GreenMonster and WISH-TV. These data models allow users to retrieve relevant, high-quality recommendations spanning topics like sports, lifestyle, pet care, sustainable living, local news, and more—all with real-time relevance and semantic filtering.
Motivation and Context:
Update:
I have also added an example project using
AgentStack+CrewAI+Dappier
in the/examples
folder. Please try to test it on your own. You can just the readme to setup the project. Below is a video walkthrough:https://drive.google.com/file/d/13gH84Ycfwd2EZc93HEimYpcOyH4w4zD6/view?usp=sharing