Vector search understands meaning, phrase match nails exactness. Together, they’re absurdly good at finding almost anything. Step up your Clay game and save hundreds of dollars.

Take the query:
“Find hospitals in the U.S. that support oncology and specifically perform a FISH test.”

Clay is powerful, and most people default to a brute-force workflow:

• download the ~6,000 hospitals from the HHS gov directory
• search Google for each one to find the correct domain
• scrape each hospital’s website
• run an LLM prompt for every hospital asking whether it performs a FISH test
• collect all the hospitals that return “yes”

It works, but this is automation of human steps, not engineering.
Imagine Google doing this every time you type a search query.

The engineering way is far more principled: index everything once, then query to get your answer in seconds.

Step 1 - find meaning - vector search:
“Hospitals or healthcare centers in the U.S. that support oncology.”
This narrows the full business domain directory down to about 600 hospitals.

Step 2 - enforce exactness - phrase match within those 600 for:
“FISH” or “fluorescence in situ hybridization.”
This yields the 61 hospitals that explicitly list the FISH test.

This is the essence of DiscoLike. All business websites indexed, vector and text. You run the queries, we handle the rest.