You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: samples/mastra-nextjs-postgres-redis/README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -4,7 +4,7 @@
4
4
5
5
This sample shows a multi-service AI app built with [Mastra](https://mastra.ai/), Next.js, PostgreSQL (with pgvector), Redis, and BullMQ, deployed with Defang from a single Docker Compose file.
6
6
7
-
A background worker generates sample tasks and events with an LLM, classifies each one, and stores vector embeddings in PostgreSQL for semantic search. A Mastra-powered chat agent uses tools to inspect the current state before answering questions.
7
+
A background worker generates sample tasks and events with an LLM, pushes them to a queue, then they get classified and stored with vector embeddings in PostgreSQL for semantic search. A Mastra-powered chat agent uses tools to inspect the current state before answering questions.
0 commit comments