Architecting a RAG Podcast Summarizer #AI #Tech // TRAIN BRAIN

Architecting a RAG Podcast Summarizer #AI #Tech

For my team's GenAI hackathon, I decided to build a tool to help me go through all my podcasts more easily. To start out, I'm going through the structure of my application on the whiteboard before diving into any code, so I can identify all the pieces I'll need to implement my idea.
Speaker: Billy Jacobson
Products Mentioned: Gemini

Google Cloud Tech

Helping you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning....

Semantic modeling for AI

Function calling for LLMs, what is it? ?

AI + your code: Function Calling

Deploy open models with TGI on Cloud Run

RAG with LangChain on Google Cloud

Looker's Chart Config Editor & Visualization Assistant

Advanced RAG techniques for better retrieval performance

Advanced RAG techniques for developers

Prompt engineering for developers

How to run anything on Google Axion Processors

Google Axion Processors, explained

GenAI is a game changer for podcasts ??

What are Hugging Face Deep Learning Containers?

Demystifying RAG for developers

How to use Retrieval Augmented Generation (RAG)

Architecting a RAG Podcast Summarizer #AI #Tech

Data insights with Looker for Google Workspace

Embeddings for AI/ML and RAG apps

Build RAG apps with embeddings

How to secure your cloud with VPC Service Controls

Leverage LLM strengths for your features ?

Deploy Hugging Face models from Vertex AI Model Garden

Introducing pipe syntax in BigQuery and Cloud Logging

Experience multimodal AI with manga ONE PIECE (ワンピース)

Gemini for Developers - Vertex AI

Architecting a healthcare and life sciences startup with Google Cloud

Cloud KMS Autokey best practices

Boost productivity with Gemini Code Assist's Multi-suggestion Feature

Meet AI’s multitool: Vector embeddings

What are text embeddings?

Visualize data with Looker Studio

Dataflow for IoT galactic research

How to customize Gemini Code Assist with your private code

Dataflow for real-time IoT analytics

Persistent runtimes for notebooks ❌⌛️? #ProTip

Modern generative AI use cases #shorts

Gemini for Developers - Security

A developer’s guide to LLMs

Gemini for Developers - RAG

Use GPUs in Cloud Run

Getting started with Vertex AI #shorts

How Volkswagen built its AI assistant pt. 2

Gemini at Work: Create a marketing campaign with Imagen 3

Gemini at Work: Extracting business-critical insights from video content

Dataflow: Real-time clickstream analytics

Dataflow for Real-time Clickstream Analytics

Gemini in action: How Volkswagen built its AI assistant pt. 1

How to automate resource encryption with Cloud KMS Autokey and Terraform

AI agents for developers productivity #shorts

Gemini for Developers - BigQuery

Gemini Code Assist: AI-powered code generation

Visualize BigQuery data with Looker

Learn how PODS used Google AI to build the world's smartest billboard

With Gemini, PODS unlocked a new way to do marketing!

Can you use AI to build AI? ???

How to reduce deployment risk with blue-green deployments

? How to run ads across the galaxy with Dataflow

Dataflow for Real-time Marketing Intelligence

?⚡️? Supercharge BigQuery with Claude

How to get started with AI ??️

How to turn Google Sheets into a powerful analytics tool with Looker

Unleash Data's Full Potential: The Looker Story

Calling Cloud Run from C#

♿ Building a more inclusive world with tech

How Dataflow helps astronauts and you ?

Dataflow for Real-time Log Replication and Analytics

Generic AI? No thank you! ?? It's the fine-tuned models for me ??‍♂️

Use AI to speed through repetitive tasks

How to automate resource encryption with Cloud KMS Autokey

Intelligent Search at scale with Spanner

How can theme parks use AI?

Safe RAG for LLMs

Gemini for Developers - AlloyDB

Is slow data holding you back?

Dataflow for Real-time ETL and Integration

Gemini + APIs = ⏱️?

Encryption with Cloud KMS Keys

Racing to the cloud with IoT

Introduction to Google Cloud Backup and DR

Supercharge your business with Dataflow