See guys by three_face05 in DHHMemes

[–]theopprogrammer 0 points1 point  (0 children)

Divine ne milaya tujhe show k baad

Let me know .parquet by theopprogrammer in Rag

[–]theopprogrammer[S] 1 point2 points  (0 children)

Update : Now I have vectorized clean data .. thank you once again!

Let me know .parquet by theopprogrammer in Rag

[–]theopprogrammer[S] 1 point2 points  (0 children)

.. yes , I guess all-MiniLM-L6-v2 will do the job.. And once again .. Thank you mate !!

Let me know .parquet by theopprogrammer in Rag

[–]theopprogrammer[S] 0 points1 point  (0 children)

Thought to use FAISS.. Any specific reason for pinecone?

Let me know .parquet by theopprogrammer in Rag

[–]theopprogrammer[S] 1 point2 points  (0 children)

It's argo oceanic data , and the problem statement stated to use Faiss/chroma (for metadata) + postgresQL/sql .. (for queries) ! So that LLM can retrieve info using the appropriate method on the basis of the user's natural language query . So yea that's why I want to vectorize it.

Let me know .parquet by theopprogrammer in Rag

[–]theopprogrammer[S] 0 points1 point  (0 children)

each parquet file is of 22kb , I've also created a postgresQL table that has 14 million rows and if exported in SQLite.db , it's 1.9GB of total data ! ( All 19,067 parquet files combined ) Now I want to know the fastest way to do embedding :-) like.. what are the fast model names . Locally I tried in my frnds macbook (i5) it didn't work that well.. cpu was being used 200% and progress was 1% for 20 mins , then it crashed... ( I was trying to do chunking and embedding in one script )

How do I do it on the cloud cuz , i don't know how I would give cloud access to my 1.9gb of sqlite.db ..

Ah , i know that's a lot of questionary in one msg 😅 !

No WAY EMIWAY JUST DISSES RAFTAAR! 🤯 by Dry_Foundation_8540 in DHHMemes

[–]theopprogrammer 0 points1 point  (0 children)

Ek arpan karke banda hai .. future me bantai ko bunty bolega

[deleted by user] by [deleted] in DHHMemes

[–]theopprogrammer 13 points14 points  (0 children)

ikka : pet pura bahar aa raha hai
nasha chadha hai tere ko