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

  Рет қаралды 2,449

CJ Avilla

CJ Avilla

10 ай бұрын

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...
github.com/and...
github.com/and...
github.com/IAP...
stdgems.org/ma...
/ @rabbitholesyndrome
/ @jamesbriggs
• Using pinecone vector ...
#rubyonrails #openai #rails

Пікірлер: 8
@drnicwilliams
@drnicwilliams 10 ай бұрын
Nice to see the Ruby tooling coming along so strongly
@cmthimmaiah
@cmthimmaiah 4 ай бұрын
Simple and clear, thanks a ton.
@diadora1166
@diadora1166 9 ай бұрын
pg_vector convener to use, I like it
@hugovillero6934
@hugovillero6934 5 ай бұрын
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.
@stewartglover5166
@stewartglover5166 9 ай бұрын
Awesome video!
@PosturaCorretta
@PosturaCorretta 8 ай бұрын
🥰
@cocoarecords
@cocoarecords 10 ай бұрын
Fuckinf awesome 😊
@RiccardoCarlessoGoogle
@RiccardoCarlessoGoogle 8 ай бұрын
Hi CJ - whats the starting part of it? Do you do a "rails new appname"? Do you use an existing one?
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