HATZ AI Web Search Tools: Optimize Data Extraction & Research

Introduction to HATZ AI Web Search Tools

The video begins by introducing the concept of web search tools within the HATZ AI platform, emphasizing the importance of choosing the right tool for the task to achieve optimal results.

Google Search: Broad Coverage & Official Pages

Explains Google Search as the 'cast a wide net' option for broad coverage, finding official pages, documentation, or specific announcements, returning titles, links, and snippets.

Tavilli: Fast, Relevant Reading Lists

Introduces Tavilli as the tool for quickly finding good links, optimized for AI research workflows, allowing guardrails for results and domain restrictions.

Perplexity: Sourced Explanations & Synthesis

Describes Perplexity as ideal for obtaining sourced explanations rather than just links, capable of searching and synthesizing information into a narrative with citations.

Exa: Intent-Based Discovery & Summaries

Highlights Exa's strength in intent-based discovery for messy keywords and its ability to produce answers with citations and summarize sources.

Firecrawl: Web Scraping & Text Extraction

Explains Firecrawl as a tool for reading websites, scraping single pages, crawling sections, or extracting structured fields when a URL is already known.

Combined Use Case: Tavilli + Firecrawl

Demonstrates a practical combined use case where Tavilli is used for discovery (finding pricing pages) and Firecrawl is used for accurate data extraction from those discovered URLs.

Optimizing Workflows with Auto-Tool & Prompts

Concludes by encouraging users to try the tools, use the auto-tool option, and understand how to prompt effectively for the best results in their workflows and agents.