If you are developing an AI agent you would come across variety of use cases that would make it easier for you to save time, automate tasks and replace manual efforts.
Take example of the Search AI agents, which can take the data and scrape content from the web. It also can help take screenshots of the web pages. And then export the content to pdf and other types of the data formats.
I created Search AI Agent using Exa API and Langchain. I have made detailed process video to show you how you can do the same. This is use case specific content, and not code jam or code explanation session.
Exa.ai is an AI search service which would allow you to data search, agent API and variety of other API services they are offering through their platform.
Langchain was chosen because it has support for the variety of the AI inference providers. And also other features are included in the framework.
I decided to make use of the Startup news and Startup financials to be searched through this agent. And it is done in the command line. So you get the option to export such to csv or other data file format.
I'd say that if you are building command line utility then with langchain with saving the summary to the csv and other text format would be much better format.
If you are building agents, build UI and the use case around them, they may appear app but more you add iteration the stronger they become.
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