Schema activation: preview concepts before you watch

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Build Serverless AI Agents with Langbase

7chapters with key takeaways — read first, then watch
1

Introduction to Serverless AI Agents with Langbase

0:00-4:00•4mIntro
2

Agentic RAG, Langbase Pipes, and Memory Agents

4:01-8:10•4m 9sConcept
3

Environment Setup and Creating Agentic Memory

8:11-15:10•6m 59sArchitecture
4

Uploading Documents and Memory Agent Processing

15:11-25:36•10m 25sArchitecture
5

Querying Memory and Building AI Agent Pipes

25:37-35:18•9m 41sArchitecture
6

RAG Response Generation and Langbase Primitives

35:19-44:29•9m 10sArchitecture
7

Rapid AI Agent Development with Langbase Command

44:30-50:48•6m 18sDemo

Video Details & AI Summary

Published Dec 8, 2025
Analyzed Dec 8, 2025

AI Analysis Summary

This course provides a hands-on guide to building serverless AI agents using Langbase, a platform designed to simplify AI agent development without complex frameworks. It covers core concepts like Agentic RAG, Langbase Pipes, and Memory Agents, demonstrating how to set up the environment, upload documents, query memory, and generate context-aware responses. The video concludes by showcasing Langbase Command for rapid AI agent development, enabling users to 'wipe code' agents with an IDE, app, API, and visual flow diagrams.

Title Accuracy Score
10/10Excellent
59.2s processing
Model:gemini-2.5-flash