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With various LLMs and AI agents being deployed, Nodepay’s infrastructure for real time data retrieval is crucial for delivering up-to-date insights for any inquiry, action or task instantly. Envision a world where any model or AI agent can access real time data ensuring the most precise results to give...

183,559 views • 1 year ago •via X (Twitter)

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Nodepay's profile picture
Nodepay1 year ago

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Fast Company's profile picture
Fast Company1 year ago

#AI agents: from tools to teammates. Software that can act, react, and interact with both humans and other agents will transform how businesses operate—and how they should invest in technology. This @EY_US article explains more. #ad

Rana Shehriyar's profile picture
Rana Shehriyar1 year ago

When $NC will pump? its dumping hard day by day

Hanamant's profile picture
Hanamant1 year ago

Listing price was not good

Rahul Sharma's profile picture
Rahul Sharma1 year ago

NOTE THAT : PRICE ID DUMPED UNTILL THE PRODUCT IS LAUNCHED AND PRODUCT IS LAUNCHED IN Q2 🤡 BIGGEST AIRDROP ON SALONA🤡 Claiming fees>> airdrop 🤡 Session 3 airdrop <<<session 0,1 🤡 The airdrop favourite emoji is 🤡🤡

Big Boss's profile picture
Big Boss1 year ago

$NC to the Moon

Lukaka's profile picture
Lukaka1 year ago

This is just the beginning! I believe...

Learn About Crypto 💎's profile picture
Learn About Crypto 💎1 year ago

Good keep building

Tugay's profile picture
Tugay1 year ago

LFG $NC pump 3$

Hammed Waliyat's profile picture
Hammed Waliyat1 year ago

Is this what you promised us 🤦

Airdop 🇻🇳's profile picture
Airdop 🇻🇳1 year ago

$NC is jump 😇😇

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Sharpe AI

263,255 views • 1 year ago

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

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