Rehaman Shaik
· 1d
Talent
Chapter 2 of the RAMP course is done. Project submitted also.
The task was to build a knowledge search API on top of a Django project. Index the files, split them into chunks, store the vectors, and then one endpoint that takes a question and gives back an answer with citations. Redis on top for caching.
Two things surprised me.
One, most of the work happens before the model. What to index, how to split it, what metadata to keep. The actual LLM call at the end is the smallest part of the whole thing.
Two, the project asks you to write down one retrieval failure and what you changed to fix it. I liked that. You cannot quietly skip the part where it did not work.
Chapter 3 now.