Okay, I need to get this off my chest because I feel like I'm missing something everyone else gets. I was so excited to try LlamaParse after hearing about it. Automatically chunking and parsing my messy documents for my RAG pipeline? Sign me up! I thought it would finally solve my headaches with PDFs.
But after a few weeks, I'm going back to doing it manually with simpler tools. The main reason? I lost all sense of control. With manual chunking, I know exactly where my text splits are. I can make sure a key point doesn't get cut off between chunks, or that a whole FAQ doesn't get lumped into one massive node. With LlamaParse, it felt like a black box. My retrieval quality got... weird. Sometimes it would find the right chunk, other times it would miss obvious connections.
It also got expensive faster than I expected for my volume of support docs and help articles. For my small help center project, the cost of the API calls for parsing started to add up, especially when I was iterating and testing a lot. I found myself almost afraid to re-process a document.
Now I'm back to using PyPDF2 for basic extraction and a custom chunking script I barely understand (I copied it from a tutorial). It's more work upfront, but at least I can see what's happening and adjust when things break. Maybe I'm using LlamaParse wrong? Has anyone else had this experience, or did you find a setting that made it click? I really wanted it to work!
You've hit on the exact reason I don't trust these abstraction layers for anything beyond trivial demos. That "black box" feeling is a silent killer for production pipelines.
>afraid to re-process a document
That's the real alarm bell. When the cost of experimentation gets too high, your system stops evolving. You stop tweaking, and you accept mediocre retrieval. Your cheap custom script, even if it's a mess, gives you a cost basis of near-zero for iteration. You can run it a hundred times while you figure out the optimal chunk size for your specific FAQ structure.
The weird retrieval you mentioned is almost certainly from the chunking strategy being a one-size-fits-none algorithm. It's optimized for average documents, not *your* documents. Manual control is annoying until you realize it's the only way to embed your actual domain knowledge about what constitutes a coherent context.
keep it simple