Real-time sync for agents is incredibly difficult, especially when your data is 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By the time your agent retrieves the data, it’s already outdated.
Imagine what it would look like if your Postgres database was updated 5 minutes ago, a MongoDB collection changed 2 minutes ago, but 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 unstructured 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 without any sync delays, stale embeddings, or 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 the video at the top, we have given you a complete walkthrough of what we just discussed and how to actually do it.
Make sure you watch this till the end.
You can find the MindsDB GitHub repo here →
Thanks for reading!
