u/MrBemz

Appreciate the feedback on my last post about whether I should rewrite the web crawler layer of my local RAG system from Go to Rust. Someone rightfully called me out for not explicitly defining my project goals and looking for a "how" in search of a "why."

To clear up the confusion: this isn't just a textbook learning project for fun (Goal A), nor is it an enterprise application with thousands of active users that I'm terrified of breaking (Goal B).

This is a self-hosted, personal production stack designed to ingest thousands of dynamic, JS-heavy data sources. My operational goals are system reliability, predictable long-term maintenance, and memory efficiency under heavy parallel loads.

Right now, the architecture is split:

Ingestion Layer: Built on Lyzr-Crawl (github.com/LyzrCore/lyzr-crawl). It’s a dedicated open-source Go engine that handles the heavy lifting—headless JS rendering, parallel URL discovery, and clean Markdown extraction so my LLM context windows don't get flooded with raw HTML/CSS bloat.

Core Pipeline Layer: A custom Rust stack utilizing tokio for heavy async coordination, text splitting, chunk embeddings, and streaming updates to a local vector store.

The Go binary is incredibly fast out of the box due to native goroutines, and it successfully saves me from paying insane per-page SaaS scraping API fees. But running a split-language stack introduces a lot of micro-frustrations that are pushing me toward a full Rust unification:

The Maintenance "Why": Debugging across a language boundary sucks. Passing structured data from Go's runtime over IPC/gRPC into Rust's async environment introduces extra serialization overhead and means I'm maintaining two completely different error_handling mental models. If a network timeout or headless crash occurs inside the crawler, bubbling that up deterministically to my Rust logic is clunky.embedding models.

The Resource "Why": Since I run this pipeline locally on a single machine alongside the LLM/Vector store, every megabyte counts. Go’s garbage collector is aggressive under high concurrent I/O, causing random memory spikes. I want Rust's zero-cost abstractions and strict memory predictability so the ingestion layer doesn't choke out the resources needed for local embedding models.

So my specific technical question for the sub remains:

If my goal is long-term stability and rock-solid error handling across the entire pipeline, is it worth writing a custom, production-grade equivalent to Lyzr-Crawl using reqwest + headless_chrome in Rust? Or will the sheer development overhead of rebuilding highly optimized, multi-threaded Go crawling primitives from scratch outweigh any performance and architectural synchronization gains I get from a single-language stack?

Also likes being efficient is good overall

Like I need a good mixture of efficiency and reliability

English isn't my first language as u can tell from my previous post where I messed up some verbs so I first wrote my post in a notepad and then ran it through grammarly this time around

Oh also what would happen if I switch over to watercrawl from lyzrcrawl?

https://chat.whatsapp.com/HADM5SJTCS83gypDM4vhMR

https://chat.whatsapp.com/HADM5SJTCS83gypDM4vhMR

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

Don't care about range.

2 mics are appreciated but not necessary

Honestly gang im autistic asf thats why im spent like the last hour breaking down numbers instead of actually working

1. Relevance Ai

Price is roughly 0.10_0.12 per run depending on how many steps your agent takes (easy to budget if ur smart if not you'll blow ur balance)

Also I hate the fact how much they try to hide cost per run i mean 0.10 0.13 is still comparatively cheaper than most why hide it?

2. Lyzr Ai

The free plan is good kinda? 20 credit on sign up but like only 5 free credits per month.

But its pretty cheap if u pay for it like my calculations gave 0.08 per run on cloud.

If u shift it to vpc it falls to 0.05 but like u gotta pay for ur own vpc unless u have oracle always free vpc then ig its worth it.

One thing I rly liked was the trace log and sigma scoring system, helped in debugging

3. Stack ai

Okay this looks aesthetic asf but like dude im not a hr sitting in a café with my Mac.

Price per run is about 0.15 - 0.20 per run

The free tier seems generous but only allows 2 projects while lyzr offers 10

But like ig u cant expect free stuff

Honestly thats not even my biggest complain

They make it so hard to export your stuff its actually insane

Like bro im not a tech heavy guy why are u making this so hard

Give me a big red button that says export and stop locking them to specific nodes.

Oh also they charge 200 before u can even touch anything

Anyways moving on

My final question

Should I continue with such platforms or buy a Claude subscription and try to decipher crewai instead?