@ikraaneeeyyy7: #musalsalkeyga❤️‍🔥❤️ #fypシ゚viral #fyppppppppppppppppppppppp #drama #viral

Kiara✨💚

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Friday 09 October 2026 20:01:38 GMT

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Samiyo Ahmed Hassan🔥🫅🏻 :

Intaan ka badan gumeysiga naga day byo 😭😂

2026-10-10 05:48:01

12

M🦋🫶 :

Thank Apyo 🫶

2026-10-10 05:05:13

3

safiya Abdullahi13 :

shikari cuptaa ahaaa😳😳😳

2026-10-09 20:49:16

1

Hibo Abdirashid20 :

Abyo thanks

2026-10-09 21:55:07

1

JannO💃🇨🇦❤️ :

byo mhdsnid soo wad😭❤️

2026-10-09 20:12:07

8

WilKa 💫 Cade :

Neat Best

2026-10-09 20:37:25

1

🇪🇹jiijo Noofes🇸🇴🇰🇪💪 :

kiara kugu malay qalbi

2026-10-09 20:21:12

7

dajiya ibraahim maxamed :

thanks wlshy

2026-10-10 03:23:06

1

marwadi suheb💋1174405673496 :

kusoceli

2026-10-09 20:48:52

1

Fatuush :

Alla ku so dar maxa nogu gumey sane Qurx badaney

2026-10-10 07:36:45

1

SHUKHRI ISMAAN Ismaan :

abaayo waxaa kaa codsanaa in aad musalsalka maanuu in aad noogu soo darto

2026-10-10 00:20:24

5

sirta qarsoon :

qalbi marwalibo nosobadi mcn to wanlasocdaa

2026-10-09 20:33:23

6

Ⓜ️🔗 :

Thanks Abaayo. 💋❤️

2026-10-09 20:09:38

3

hananeyy🖤🫶 :

bashkasa isago dhamaystiran yala kadawada

2026-10-10 10:04:08

0

Jano🦊❤️ :

Aniga uhoreya 😂

2026-10-09 20:06:55

3

sacdiyo jaano❤️ :

sobadii

2026-10-09 20:08:34

1

I only love you Mohamed muse ي :

2026-10-09 20:10:09

1

່ :

Next

2026-10-09 20:41:25

1

♾️ :

2026-10-09 20:50:42

1

ma i da h🦢 :

2026-10-09 20:26:23

1

quen👸💯💯🤍 :

niiireeej❤️❤️❤️

2026-10-09 21:28:50

1

Libaxada layrta jifta :

Queen qaybta kle so dhig

2026-10-09 21:25:44

1

𝖬𝖺𝗒𝗆𝖺❤️👸 :

qlp kuso dar waba sugi la ahe😂❤️

2026-10-10 04:08:49

1

Fatima🇸🇴❤️👑 :

Abayo mahad sanid ila iyo filimka dhamadkiisa noowada waad

2026-10-09 20:07:24

2

RiYa♡♡ :

kusu dar blz abayo mcn

2026-10-10 03:42:19

1

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مجھے نہیں معلوم لوگ خوبصورت باتیں اپنے دلوں میں کیوں قید رکھتے ہیں، حالانکہ اگر وہ انہیں زبان پر لے آئیں، تو ان کے اور ان کے چاہنے والوں کے سینوں میں گلابوں کے باغ کھل اٹھیں🖤 #foryou

مجھے نہیں معلوم لوگ خوبصورت باتیں اپنے دلوں میں کیوں قید رکھتے ہیں، حالانکہ اگر وہ انہیں زبان پر لے آئیں، تو ان کے اور ان کے چاہنے والوں کے سینوں میں گلابوں کے باغ کھل اٹھیں🖤 #foryou

একটা মানুষ চুপ হয়ে গেলে বুঝে নিও,,💔🥹@TikTok @Bangladesh #lyrics #lyricsvideo #foryou #trending #viral

একটা মানুষ চুপ হয়ে গেলে বুঝে নিও,,💔🥹@TikTok @Bangladesh #lyrics #lyricsvideo #foryou #trending #viral

Enak Juga Dijadikan Ringtone #ringtone #nadaderingwhatssapp #nadadering #wanringtone #soundviral

Enak Juga Dijadikan Ringtone #ringtone #nadaderingwhatssapp #nadadering #wanringtone #soundviral

#चौकादाउ२

#चौकादाउ२

Mấy nay tui hơi bận.. do phải ghé thăm anh người iu bên trời Tây á 😘 | Cre sound: tranghy.1603 #leejunyoung #이준영 #fourhands #kdramas #maybemonday

Mấy nay tui hơi bận.. do phải ghé thăm anh người iu bên trời Tây á 😘 | Cre sound: tranghy.1603 #leejunyoung #이준영 #fourhands #kdramas #maybemonday

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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