Local RAG Using Llama 3, Ollama, and PostgreSQL

[@BertrandDunogier]

Thank you, clear and straightforward.

[@awakenwithoutcoffee]

great , looking forward learning how to utilize Timescale DB for our AI start-up !

[@TimescaleDB]

Awesome! That's great to hear. Please let us know how it goes, or if you have any questions. 😁

[@awakenwithoutcoffee]

@@TimescaleDB for sure!

[@renobodyrenobody]

Sir, thanks a lot for your video. Did not follow exactly your presentation but it is great and save a lot of time. Thanks thanks thanks!

[@NicolasEmbleton]

Very cool. Thanks. Nice summary.

[@matarye9745]

Nice tutorial!

[@TimescaleDB]

Thanks!!

[@nanomartin]

Quite useful tutorial! Thanks for bringing it. A few questions that come to my mind: 1- How could I get rid of proprietary image in docker? I bet it is possible to get our existing PG instance and just drop in the necessary extensions and should work as well, but just want to confirm. 2- It looks easy to delegate to the PG extension to communicate with ollama and get the embedings, however I see to many roundrtrips in that approach. For a programmatic system that would have to do tens of thousands runs a day, how this perform? Is there a more "straight" way to pull embeddings from ollama and query PG?

[@fakkmorradi]

sweet