Semantic search (search by meaning) - Rails, OpenAI, langchain.rb, pg_vector

In this video, you'll learn how to use tools like OpenAI, LangChain.rb, and Postgres with pgVector to build semantic search for a Rails app, breaking content into chunks, generating embeddings for each chunk with OpenAI, storing those in Postgres, and then using nearest neighbor search to find relevant chunks for a search query. This allows searching by meaning rather than just matching text exactly.
/ how-to-build-an-ai-cha...
github.com/ank...
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/ @rabbitholesyndrome
/ @jamesbriggs
• Using pinecone vector ...
#rubyonrails #openai #rails

[@drnicwilliams]

Nice to see the Ruby tooling coming along so strongly

[@cmthimmaiah]

Simple and clear, thanks a ton.

[@diadora1166]

pg_vector convener to use, I like it

[@stewartglover5166]

Awesome video!

[@hugovillero6934]

Nice video. Thanks. One question I'm impressed with is your VIM setup for rails. Is that NeoVim? Where can I find a guide to configure it that way for Mac? Thanks again.

[@cocoarecords]

Fuckinf awesome 😊

[@RiccardoCarlessoGoogle]

Hi CJ - whats the starting part of it? Do you do a "rails new appname"? Do you use an existing one?

[@PosturaCorretta]

🥰