▲ 18 r/Rag

agentic rag basically works now, so why trust a proprietary "research" api over just running your own agent?

maybe i'm missing something here, genuinely asking.

these days agentic rag kind of just works? you give an agent a search tool and a fetch tool, write a decent prompt, let it loop — search, read, reflect, search again, synthesize — and you get solid grounded answers out the other end. you own the loop, the prompt, the model, the reranking, all of it.

so every time i look at one of these "research for agents" products — exa, parallel, tavily's research thing, that whole category — i end up at the same thought: under the hood they're doing the exact same thing i'd do, running an agent loop

internally, just with a few extra controls bolted on top. and the underlying data is the same internet for all of us anyway.

is that delta — "a few extra guardrails" — actually worth handing your whole retrieval layer to a black box you can't see into or tune for your own domain?

the only part i genuinely can't replicate in an afternoon is the data side: a real index over the open web, not getting blocked at scale, clean extraction that doesn't dump nav/footer junk into my context. everything above that i'd rather just own.

so i'm honestly curious what people actually think. if agentic rag is this accessible now, what's left that makes a proprietary research api worth trusting or paying for? real value, or mostly convenience?

reddit.com
u/psycenos — 11 days ago

genuine question — why pay for exa/parallel "deep research" or "top level research" when i can just give my agent web access?

ok maybe i'm too deep in this and missing something obvious, so tell me if i'm being dumb.

i build agents. and every time i look at these web/deep research apis (exa, parallel, tavily's research thing, whatever) i kind of just go... why though?

like the data is the same internet for everyone. if i wire up any half-decent agent, give it a search + a fetch tool, and write a reasonable prompt, it already does the whole "search → read → search again → synthesize" loop fine. i control the

loop, i control the prompt, i control the model. the "deep research" part honestly feels solved? i wouldn't reach for a paid research api for that, i'd just write the agent myself in an afternoon.

but these companies are raising massive rounds and people clearly pay real money. so one of these is true and i can't tell

which:

- i'm too far in the weeds and the actual market just wants a one-call black box

- there's a real moat i'm not seeing (the index? the scraping infra? freshness? anti-bot?)

- it's mostly hype not trying to dunk on anyone, genuinely trying to find where the value is.

so, people actually shipping agents: do you pay for any of these? which one, and what made it worth it over rolling your

own? or do you just DIY the research loop with your own search/scrape tools? what would actually make you reach for one

instead of writing it yourself?

reddit.com
u/psycenos — 11 days ago

how to understand if the full content is ready to scrape or not?

so the thing is, for some sites the actual content (the text/data i want) is already fully there, but the page keeps loading heavy js in the background — ads, trackers, widgets, analytics, whatever. and if i just wait for everything to finish, it's a waste of time, sometimes it takes way too long for stuff i don't even care about.

so what i want is a way to understand the moment the real content is ready, so i can grab it and stop waiting early. but the hard part is i'm scraping all kinds of different sites, so i can't just wait for one specific element every time.

waiting for "network idle" doesn't really work either, because some pages keep firing requests forever and it never goes idle. and a fixed timeout is either too short (i miss content) or too long (slow as hell).

so how do you guys figure out when the content is actually ready? is there any trick for this? i hope you get my point

reddit.com
u/psycenos — 13 days ago