@faer_so_29: Есть грань между мемом и неуважением. Трагедию не стоит превращать в контент ради просмотров. #standoff_2 #fupシ #rek

🎄faer🎄
🎄faer🎄
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Wednesday 19 August 2026 00:54:36 GMT
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pronzit
династия :
голда
2026-08-19 10:58:28
44
bloody_marrii
T :
Шутить про смерть невинного мальчика
2026-08-19 13:56:24
164
jonnymk1zxt
Skeleton :
СКАЖИТЕ АРГУМЕНТ ПОЧЕМУ КОЧ БРАТАН И КАБИЛДЖОН СМЕШНО?
2026-08-19 10:37:15
160
elmirchik985
Willon the best gamer :
автор
2026-08-19 08:47:46
157
planeta_edit6
Dekwer4k :
он сказал дада
2026-08-19 10:58:51
14
friend.solo.taim
Sinister Mark :
те кто шутит про голду:
2026-08-19 11:40:41
41
samixx.tech
Samixx :
тикток vs человечность
2026-08-19 08:52:19
9
kcuc23
пьяный_зумер :
так быстро ещё репост не убирал
2026-08-19 12:54:44
18
mcsamo666
McSamo666 :
2026-08-19 07:34:21
14
koshkomalchik_artem
Артём :
а ведь он сказал не голда а дада с его языка это папа
2026-08-19 12:29:54
14
dvishyxa_zastoi
Миша движуха :
Голда
2026-08-19 13:21:25
7
real_bast003
REAL NUROX :
потому что в тик токе типы деградируют
2026-08-19 08:09:02
47
belkin_61
котость от белки :
если бы эти трагедии произошли на Российском языке то бы над этим не смеялись
2026-08-19 13:03:31
6
up23563
Məmmədov😶‍🌫️ :
Автор:
2026-08-19 13:23:51
24
amir136kvip
Amir136KVIP🇪🇺 :
первый нормальный стендоффер
2026-08-19 13:21:23
9
as_monstorv2
AS_MONSTORV2 :
автор просто имба
2026-08-19 10:23:38
7
deman_edits
Демьян :
Автор
2026-08-19 13:16:53
5
ariaq54
FIXET :
Автор:
2026-08-19 11:59:39
9
_df1l_
_kios_ :
добро пожаловать в интернет
2026-08-19 10:21:01
9
ffyato
YATO FF :
автор
2026-08-19 12:09:30
6
.580063
🦅 :
2026-08-19 10:33:09
9
cosmos.sabt
✧космос✧ :
фаер как всегда фактит
2026-08-19 07:26:47
19
reg1lik
FakeAlik💤 :
Фаер
2026-08-19 05:06:56
11
falkler_chalpen
⌀ :
автор
2026-08-19 10:38:21
8
ramzi.1337
BNML@ :
а веть он реално играл стендофф
2026-08-19 10:47:29
5
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How to build a company second brain that never makes things up (RAG, every step) A company AI that answers from 18,000 documents, shows the exact page, pulls up the right diagram, and says so when it can't prove something. Here's how it's built, step by step. The idea (RAG): the AI looks things up before it answers. Search by meaning works like a map: every chunk of every document is a pin, and similar meanings sit on the same street. Part numbers need exact-word search, so you run both. The loader (a program that gets documents onto the map), built with Claude Code: Read the documents properly. Docling (free) keeps tables whole and cuts out every figure. Claude describes each diagram and reads its part numbers. Dry run on 50 documents first. Label every chunk (metadata). Which document, which version, current or replaced, which model, which plant, who can open it. The AI can only pick from approved lists, and anything that doesn't match goes to a human. Access is enforced in code before the search runs. Chunk by headings. About 500 tokens per chunk, a little overlap, tables and procedures kept whole, the heading path stamped on every chunk, plus one line of context. Fill the index in Pinecone.
How to build a company second brain that never makes things up (RAG, every step) A company AI that answers from 18,000 documents, shows the exact page, pulls up the right diagram, and says so when it can't prove something. Here's how it's built, step by step. The idea (RAG): the AI looks things up before it answers. Search by meaning works like a map: every chunk of every document is a pin, and similar meanings sit on the same street. Part numbers need exact-word search, so you run both. The loader (a program that gets documents onto the map), built with Claude Code: Read the documents properly. Docling (free) keeps tables whole and cuts out every figure. Claude describes each diagram and reads its part numbers. Dry run on 50 documents first. Label every chunk (metadata). Which document, which version, current or replaced, which model, which plant, who can open it. The AI can only pick from approved lists, and anything that doesn't match goes to a human. Access is enforced in code before the search runs. Chunk by headings. About 500 tokens per chunk, a little overlap, tables and procedures kept whole, the heading path stamped on every chunk, plus one line of context. Fill the index in Pinecone. "Search by both meaning and exact words." Keep it current (n8n): every 15 minutes, ask SharePoint what changed. New versions go in first, old versions come out second. Answering (the courtroom): security at the door, a clerk that asks when something's missing, an evidence room (both searches plus a reranker), a first ruling (not enough evidence means "not in approved documents" and a ticket to the owner), a lawyer that cites every sentence, and a judge that checks every claim and number. Prove it before launch: 300 real questions per department, including ones it must refuse. Leaks must be zero. #aiautomation #microsoftcopilot #claudecode #aiemployee #aiagents

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