Trey and I talk about the different techniques for AI-powered search and how we can combine them to build modern search systems.

Spotify: open.spotify.com/episode/1udV...
Apple: podcasts.apple.com/us/podcast/a...

You want the exact opposite.

You want layers of tools aligned in a graph that you can tune, debug, and update in isolation.

Today on How AI Is Built, we are talking to one of the OGs of search: Trey Grainger, the author of AI Powered Search.
www.youtube.com/watch?v=6IQq...

Youtube: www.youtube.com/watch?v=trG5...
Spotify: open.spotify.com/episode/6eyT...
Apple: podcasts.apple.com/us/podcast/c...

Youtube: youtu.be/Z9Z820HadIA
Spotify: open.spotify.com/episode/3LAJ...
Apple: podcasts.apple.com/us/podcast/a...

Want to learn more? Today on @howaiisbuilt.fm, we are talking to Stephen Batifol from Zilliz. Stephen and I discuss agentic RAG and the future of search - where systems decide their own path to find answers.

What's your take on agentic RAG?
youtu.be/Z9Z820HadIA

We talk about how they enable BM25 on PostgreSQL, how they integrate into the Postgres Query engines, and how you can build search in your database.

open.spotify.com/episode/4CXX...

Not anymore.

ParadeDB is building an open-source PostgreSQL extension to enable search within your database.

Today on How AI Is Built, I am talking to @philippemnoel.bsky.social , the founder and CEO of @paradedb.bsky.social.

youtu.be/RPjGuOcrTsQ

With RAG these issues are amplified.

We do not look at full documents anymore, but at bits and pieces.

So we have to be extra careful.

Today on @howaiisbuilt.fm we talk to Max Buckley.

Max works at Google and has built a lot of interesting stuff with LLMs to improve knowledge bases for RAG.

>>

Some query types might not work at all.

It is very costly in terms of storage and compute. We have to keep our indexes in memory to achieve a low enough latency for search.

What we are talking about today works for everything, works out of domain, and is one of the most efficient.

>>

You probably guessed it, we are talking about the OG ranking function in search: BM25.

Today we are back continuing our series on search on @howaiisbuilt.fm with @taidesu.bsky.social.

We talk about BM25, how it works, what makes it great and how you can tailor it to your use-case.