@parthknowsai: Have you heard about this new RAG approach from IBM about using table of contents for retrieval #learnontiktok #EduTok #ai #research #techtok

parthknowsai
parthknowsai
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Friday 18 September 2026 12:22:00 GMT
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waitada
Lameees :
Queens invented table lookup
2026-09-18 18:19:38
0
alkabodi
kab :
could you add the link to this article please
2026-09-18 13:13:47
2
romyy532
Romy :
it also has another limitation sometimes a query's response can be in multiple sections not just one
2026-09-18 13:04:38
25
joshua29sv
Joshua :
This was already a thing with PageView repo. and it's not RAG
2026-09-18 13:55:20
13
hassanjaved1663
hassanjaved1663 :
This should augment the conventional Rag otherwise you’d miss something critical on the footnote on page 269
2026-09-18 18:24:58
0
bedroomlab
Ric Moore :
Jev doesn’t hallucinate
2026-09-18 13:35:28
1
_theolusola_
Olusola :
So the solution have been in our faces
2026-09-18 18:17:40
0
wethotshame
Wethotshame :
No vector db?
2026-09-18 18:20:20
0
yo.yo_yo.yo_yo
maplebrown :
RAG in big 2026 😹 just use the 1 gazillion token context window bros
2026-09-18 16:24:50
2
galaxy_eye3
Galaxy_eye :
I came up with this 3 months ago. 100% accuracy.
2026-09-18 17:17:09
1
optiprime.ai
OptiPrime AI :
I am building in the law space. My hybrid RAG design has no hallucinations and a 85% average accuracy. It uses re-ranking which improves accuracy, reduces hallucinations, but it is slow, about 6 minutes, but it can work across messy docs like 15 year old court docs.
2026-09-18 14:09:05
0
capeeellnd
Capel :
Wouldn’t be a limitation if the document gets updated? It can generalize and keep retrieval quality stable until certain point?
2026-09-18 14:20:38
0
rocobster
🪨 :
Do you have a video on lev yet?
2026-09-18 12:32:22
0
randomizer69578
randomizer69578 :
So, an indexed database 😅
2026-09-18 15:12:48
1
qwertz_enjoyer
qwertz_enjoyer :
assuming there is a toc
2026-09-18 14:26:16
0
kss7069420
idite naxui :
omg that's just what I needed, thank you!
2026-09-18 12:38:44
0
jesuislechaton
Le chaton :
So how is that different from having docs OCR into markdown and then have any llm with the proper prompt go read ToC then the section ?
2026-09-18 15:23:46
1
cris_7117
Cris :
table of contents isn't basically what Traditional database do when doing a Index for a DB but either way how does it check that the title for the embedded content isn't misleading?
2026-09-18 14:03:47
2
neilspartacus
NS 🕷️ :
Vectorless rag or page index rag. Not new
2026-09-18 18:36:02
0
viann2050
viann205 :
what's the name of the paper
2026-09-18 16:54:01
0
dan.dusk
Dan.Dusk :
the more i read abot rag alternatives the final conclussion is always "our data is too disorganized" or " we dont want toninvest in cleaning the data"
2026-09-18 18:35:48
0
kvnx.pubg
kevnotfound :
i think i invent or i just make my own concept better than this
2026-09-18 18:08:06
0
sepotang
Stephen :
I struggle where the LLM isn’t provided accurate chronological data. It’s able to answer pointed questions, but not able to discern progression through time and changes. When the documents include progress, updates, changes, and overall transformation from initial state to final state, it will only pull the valid records based on the query and attempt to answer a question. It’s the difference between reading and referencing a dictionary, vs. interpreting the meaning and context of a historical epic. If that data isn’t in the training data that is.
2026-09-18 17:22:31
0
elmercaderdevenecia
ElMercader :
Hallucinated “Artificial Table of Contents,” lol 😂
2026-09-18 18:07:58
0
creativerevolt
Creatieve Revolte :
Similar to GBrain?
2026-09-18 12:29:38
0
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