@._.i._110:

اݪاسـٰٖـ๋͜ــمـٰࢪ˼🇧🇷🧛🏽‍♂️
اݪاسـٰٖـ๋͜ــمـٰࢪ˼🇧🇷🧛🏽‍♂️
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Tuesday 02 September 2025 20:10:08 GMT
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.aolz0
🦢 :
چا وليفهه؟
2025-09-03 05:14:23
887
1eke8
𝐴𝑠𝑂♡ :
تخيلووو اكو بنااات تحبهم
2025-10-24 12:27:31
596
5l.x.r
بَنيِـنَهَه🐾. :
فديتكممم 😂😂
2025-09-03 08:22:14
102
vb_the
حسـانيي :
اول مره اشوف حربكه نضيف
2025-09-03 19:56:45
271
qsqas8
؟ :
يشبهه موو ✨
2025-10-25 12:19:33
31
questionsk43
✘:":♯̶ ححســـو.. 🇬🇧🍃¹↻˹ :
2025-09-19 07:32:12
83
ssiiiiiiiijjjjjjh
ام ﮼حَرب 🪿. :
نو سبح نو سبح نو نو سبح ✨
2025-09-18 17:22:01
235
ff_14_4
𓏺𝑭𝒂𝒕𝒊𝒎𝒂♬. :
ترا المي بلاش🗿.
2025-10-29 10:32:52
32
eagenahamad
.:لــولــي☆. :
هلا بل القالي🗿🗿
2025-10-28 12:40:57
7
ujlj7
Dindondibuevtqvywvusn :
اين انت ايها الزعيم💔
2025-10-17 13:26:46
42
pjjju1
🪐2011🩵𝓐𝓵𝓵𝓪𝔀𝓲👈🏻 :
2025-10-02 22:49:08
73
ta6oa6
ta6oa6 :
خوية هم سامع بالصابونة والماي
2025-10-24 11:43:17
14
mn______2009
مَـــــنِ :
2025-10-24 21:34:04
11
iiuu825
. :
شلون تعرف أهل البصره
2025-09-03 17:15:49
27
2y.u.0
سوزان🪺 :
شنو اسم الأغنية
2025-10-28 20:22:31
5
fdewvhy
عٌبًيِّسِـ⛎ :
انته مو من البصره بحي الاصدقاء 🤔
2025-10-06 21:52:00
6
.a006615
𖣂. :
𓈒𓏲:فديتكممم 😂😂
2025-10-04 21:01:06
6
omfarah584
(ألــمـــَاريـنـا🎭🕯️) :
تذكرني؟ 🥹
2025-10-17 20:59:07
6
zxe.il6
زهَراء🍓. :
قياساتي✨
2025-09-20 12:12:24
7
mcikey49
اَفـاَطــمِ. ★:𝑭𝑨𝑻𝑴𝑨 :
:شلونن تعرفهم بصرا زبير ..
2025-10-15 10:35:54
7
gardens112
زٍمًآنِ رآحً مًآيَرجّعٌ :
تحيه لكل سمر 💎😊
2025-09-03 10:21:22
10
bno_m11
⃤༒』𓃵 فالفَيردٰي :
زلام قبل وهسة 🫵🫨
2025-10-10 09:42:27
6
6_u.8
صفـ͒͜ـًـًأأآويي༩ོ :
الاسمر ما يا محافظة
2025-09-22 11:21:34
16
sdhx_211588
🎀𝓚𝓱𝓣𝓪𝓪𝓶🎀 :
هاي اني من اركص هيج 😂😂
2025-09-27 18:50:49
6
flacx_110
🎀//𝑹𝑸𝒀𝑯 :
احبك
2025-10-24 00:09:49
8
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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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