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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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6 similar posts found

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PHYGITAL+CREATIVE

@phygitalcreative · Post #3122 · 06/23/2023, 12:24 PM

Neuralangelo интегрировали в SDFStudio Да, его можно установить (с гитхаба) и пользоваться. В деле замешан Nerfstuduio, и можно пользоваться его вьюером. Код #nerf#rendering

Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #613 · 08/30/2022, 07:10 PM

Chybik kristof unveils a newly designed private art gallery, defined by its shimmering facade of moveable copper tiles. the cluster of vertical cylinders are animated by the dynamic skin, which will gradually transform with a patina over time. Visualization: monolot.studio #rendering#cgi#facade#architect#archidaily#arch_shovel

Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #511 · 07/10/2022, 03:46 PM

Sutton Tower at 430 East 58th Street. A beautiful Bavarian limestone residential tower designed by visionary architect Thomas Juul-Hansen, situated in New York City's most sophisticated and enduring enclave, with epic views of the city, East River and the Ocean. Rendering by Recent spaces Designed by Thomas Juul Hansen Branding by Pandiscio green Sales & Marketing by Corcoran Sunshine #manhattan#architecture#archdaily#buildings#newbuildings#residential#nyc#newdevnyc#rendering#arch_shovel

djangoproject

@djangoproject · Post #523 · 12/13/2017, 08:27 PM

http://www.jaggedverge.com/2017/11/how-a-web-page-request-makes-it-down-to-the-metal/ How a web page request makes it down to the metal by : Janis Posted in : Tutorials, work-in-progess Tags : #NGINX, #Python No Comments The other day I was interested in how many steps occur between sending a #POST or #GET#request from a website to the actual processing that happens on the CPU of the #server. I figured that I knew bits and pieces of the puzzle but I wanted to see the complete path from the highest levels of abstraction all the way to the lowest without missing anything too big in-between. It turns out that in a modern web system there are a lot of steps. I have been really fascinated by this much like the explorer that wants to find a path from one known place to another. If you are interested in better understanding how your computer works you might find walking along this path with your tech stack helpful. Frontend prelude: GET request Browser page #rendering POST request sidenote: #CSRF#token Network stack sidenote: The Internet #TCP sidenote: more comprehensive treatment of network stack Backend Handling web request #WSGI #Django Django URL routing Django views Python implementations #CPython CPython bytecode CPython bytecode execution details Machine Code CPython to machine code Machine code execution Hardware implementation details Microcode Processor #pipeline Silicon implementation of addition Silicon adder unit AND gate Transistor