A: Hey M.Kh!

That's a great question about creating comprehensive research reports with various media, similar to what you might get from a "Super Search" in GensparkAI.

Yes, AgenticFlow can definitely be set up to achieve this! Here's how:

1. Performing the Search (Gathering Initial Data):

Use our Google Search node or Perplexity Search MCP (https://agenticflow.ai/mcp/perplexity) to find relevant web pages, articles, and initial information based on your search query.

If looking for videos specifically, you could also use the YouTube Data API MCP (https://agenticflow.ai/mcp/youtube_data_api) to search for relevant videos and get their links.

2. Extracting & Processing Content:

For each relevant link found:
- Use a Web Scraping node or a more robust scraper via MCP (like Firecrawl: https://agenticflow.ai/mcp/firecrawl or Apify: https://agenticflow.ai/mcp/apify) to get the full text content of articles or pages.
- Feed this text into an LLM node to:
Summarize the content.
Extract key insights or data points.
Identify if it's a primary document, a supporting one, etc.

3. Compiling the Report:

You'll need to aggregate the information gathered (summaries, document links, video links).

Use another LLM node to synthesize all this information into a coherent report. Your prompt would be key here, for example:
"Based on the following search results, summaries, and video links, create a comprehensive report on [Your Topic]. Structure it with an introduction, key findings with links to supporting documents, and a section with relevant video links and their brief descriptions. Output in Markdown or HTML."

4. Outputting the Report:

The LLM can output the report as formatted text (Markdown is often good for this as it includes links easily).

You can then:
- Send it as an email (via Gmail MCP or Send Email node).
- Save it to a Google Doc (via Google Docs MCP: https://agenticflow.ai/mcp/google_docs).
- Save it as an HTML file (using the "Export Data to File" node, setting the extension to .html).

Key AgenticFlow Components You'd Use:
- Search Nodes/MCPs (Google, Perplexity, YouTube)
- Web Scraping Nodes/MCPs (Built-in, Firecrawl, Apify)
- LLM Nodes (for summarization, extraction, and final report generation - use built-in economical models or BYOK for premium ones)
- Output Nodes/MCPs (Email, Google Docs, Export to File)

Comparison to a "Super Search" like GensparkAI:
While GensparkAI might offer this as a single, polished "Super Search" feature, AgenticFlow gives you the building blocks to create your own customized version of this. You have more control over the sources, the depth of scraping, the summarization style, and the final report format.

You could even build this as a Multi-Agent System (with the add-on) where one agent manages the search, others specialize in document processing or video finding, and a final agent compiles the report.

So, yes, you can definitely replicate and customize that kind of rich report generation!
— Sean