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Source channel @githubtrending · Post #15085 · Aug 22

#python#chatbi#deepseek#llm#nl2sql#rag#sqlbot#text_to_sql#text2sql SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility. https://github.com/dataease/SQLBot

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Tongochi channel

@tongochi_game · Post #377 · 12/19/2023, 04:31 PM

🔥25,662,175PET burned at zero address (total burnt: 35,002,502 PET). ________________________________ 🔎Tonviewer | 🕶Owner | ⚙️Minter 📌0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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Tongochi channel

@tongochi_game · Post #344 · 11/04/2023, 10:10 AM

🔥8,000,000PET burned at zero address (total burnt: 9,335,328 PET). ________________________________ 🔎Tonviewer | 🕶Owner | ⚙️Minter 📌0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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Tongochi channel

@tongochi_game · Post #322 · 10/16/2023, 01:42 PM

🔥65,232PET burned at zero address (total burnt: 1,335,328 PET). ________________________________ 🔎Tonviewer | 🕶Owner | ⚙️Minter 📌0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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Tongochi channel

@tongochi_game · Post #313 · 10/07/2023, 07:57 AM

🔥71,300PET burned at zero address (total burnt: 1,270,096 PET). 0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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Tongochi channel

@tongochi_game · Post #302 · 09/29/2023, 03:49 PM

🔥365,762PET burned at zero address (total burnt: 1,198,796 PET). 0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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Tongochi channel

@tongochi_game · Post #296 · 09/24/2023, 06:55 AM

🔥137,480PET burned at zero address (total burnt: 833,033 PET). 0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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Tongochi channel

@tongochi_game · Post #285 · 09/17/2023, 10:55 AM

🔥248,310PET burned at zero address (total burnt: 695,553 PET). 0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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Tongochi channel

@tongochi_game · Post #277 · 09/05/2023, 05:39 PM

🔥424,242PET burned at zero address (total burnt: 447,242 PET). 0:49389d9e2ff094153ff4afd99ea2a8ca53046db42ffe354272bd6431b335567b #BURN#PET | @token_inside

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ZIGCHAIN OFFICIAL CHANNEL

@ZIGChain · Post #19 · 10/20/2024, 01:09 PM

📢BURN INCOMING📢 It's time to buyback & burn #ZIG🔥🔥! 8th Monthly #ZIG buyback & burn will take place on 6th January and It will be the biggest monthly burn to date! #Zignaly#ZIG#Burn

Ивлев Медиа LIVE * Ульяновск

@ivlevlife · Post #2856 · 10/13/2025, 04:38 PM

🔥 Этим летом в Ульяновске прошёл самый масштабный тур амбассадоров BURN! Амбассадоры провели открытую смену, рассказали о преимуществах HiT, пообщались с гостями и зарядили всех энергией бренда. Мы были там, пообщались с самыми главными — и теперь выкладываем полные интервью 🎬 При поддержке BURN и Kalyan Sale #BURN#Ульяновск#ИвлевМедиа

方程式-CZ&Heyi监控频道(一切推文+改名/头像)

@bwe_reserved4 · Post #1497 · 02/01/2026, 09:25 AM

📢CZ_Binance [retweet] | 🕒 2026-02-01 17:24:56 🔗 [Source] 🇨🇳 RT @TerraHaberTr: 币安交易所已完成2月份的 $LUNC 销毁。币安已将1,082,000,898.97枚 $LUNC 代币发送至销毁钱包。...币安已定期销毁 $LUNC 达3年。 #Binance#Burn#LUNC#TerraClassic 🇺🇸 RT @TerraHaberTr: Binance exchange's February $LUNC burns have taken place. Binance sent 1,082,000,898.97 $LUNC coins to the burn wallet. ... Binance has been regularly burning $LUNC for 3 years. #Binance#Burn#LUNC#TerraClassichttps://t.co/3arMCB0VOU 💰 市值 $LUNC MarketCap: $195M

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