@farkhansyabana4: pose🐍 #blitar24jam

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Friday 18 September 2026 03:16:17 GMT

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Comments

𐙚cwis :

komirip temen ku nyakk

2026-10-03 14:07:19

437

YoikiAmadw9👋 :

🐍: uasik mas musik e 🤩💃💃

2026-10-02 05:51:37

295

UNI SOVIET :

style opo mas

2026-10-02 09:38:26

54

𝓢𝓸𝓹𝓸²𝓴𝓮𝓷𝓮𝓴 :

awas mas nyatek😭

2026-10-02 04:19:34

66

_cipA :

plisss lucuu bangett

2026-10-04 13:15:22

2

N :

urarr gasskuu

2026-10-05 11:49:34

0

MAS DIKA :

penjaga rumah orang ini emang beda🗿😂

2026-10-04 15:22:48

2

_onlyna :

urar awas ada urar🐍🐍

2026-10-04 14:51:22

1

𝕯𝖊𝖓𝖎,𝕬𝖜𝖜 :

2026-10-03 05:28:50

1

@Lov3r_nda🧚🦑 :

aku punya

2026-10-04 02:50:58

2

wantek1 :

tidak sesuai ekspetasi

2026-10-03 05:16:23

4

⋆. 𐙚 ˚𐐼ׅl𝘆𐐼ׅ ꫂ᭪݁ :

awas ada urar ada urar

2026-10-04 03:25:42

1

rikoo :

Iki lek onok omongan e wong gak penak langsung nyatek😭😂

2026-10-02 15:22:28

16

￴ ￴ ￴ ￴ ￴ ￴ ￴ ￴ ￴ :

iku kaliper e nggowo OPO mas?

2026-10-04 16:52:00

0

cemutt🐣 :

reflek ngadoh no hp seko rai

2026-10-03 08:27:11

2

rezz🚭Bae💦 :

astaga gasqu

2026-10-05 00:50:48

0

rra? :

kok mirip konco ku yoo😹😹

2026-10-04 13:00:00

0

WAWENG🫂🍃 :

2

2026-10-02 04:11:04

0

wong urep :

meja kematian 🤣

2026-10-03 01:31:37

0

sha. :

bayuhhhh, ehh mas iku dijenengi spo

2026-10-04 02:26:24

0

nolxx.5 :

mau

2026-10-04 09:51:10

0

n :

astaga gaskuuu

2026-10-04 12:07:36

0

CAHYAA :

sɪɴᴇᴍᴀᴛɪᴋ ʏɢ ɢᴀᴋ ʙɪsᴀ ᴅɪ ʟᴀᴋᴜɪɴ sᴇᴍᴜᴀ ᴏʀᴀɴɢ ᴛᴇʀᴍᴀsᴜᴋ ᴀǫᴜ

2026-10-04 08:33:46

0

🧂 :

ohh urarr gaskuu

2026-10-04 08:52:02

0

user🥰 :

2026-10-02 04:18:14

0

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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

🤍🤍. . . . . . . #شور_حتى_الظهور #ذكر #علي_بن_ابي_طالب #ياعلي #fyp #foryou

🤍🤍. . . . . . . #شور_حتى_الظهور #ذكر #علي_بن_ابي_طالب #ياعلي #fyp #foryou

Vị bò húc ✨💕 #viensui #vitaminc #douong #totchosuckhoe #minnriviu

Vị bò húc ✨💕 #viensui #vitaminc #douong #totchosuckhoe #minnriviu

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