What is Retrieval Augmented Generation?
Skills:
RAG Basics90%
Key Takeaways
Retrieval-augmented generation (RAG) combines large language models with external knowledge bases to improve accuracy, using techniques like tax bedding and combining prompts with retrieved context to generate final outputs.
Full Transcript
what is retrieval augmented generation also known as RG or grounding R is a new AI framework that combines large language models with external knowledge bases to improve the accuracy of model response imagine you have a Wikipedia page on T Swift that you like all your answers to gr it on it's your source of Truth RG retrieves information through the Wikipedia API using tax beding combine Dural prompt with retrieve contacts send it to the LM to generate the final output for example1 as LM how many record had Terra Swift sold globally if the isn't tra on the most recent data the model give you a wrong response by using Wikipedia API as my knowledge base I can secure the correct response because it's grounded on the given knowledge base is like a cheat sheet for the ads check out the RG blog post yourself and share the comments down below
Original Description
Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. Check out the blog for more details!
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from Google Cloud Tech · Google Cloud Tech · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
I’m going for it #GoogleCloudCertified
Google Cloud Tech
I had to get #GoogleCloudCertified
Google Cloud Tech
Be better overall at what you do #GoogleCloudCertified
Google Cloud Tech
Cloud Monitoring on our radar #Analysis #Uptime
Google Cloud Tech
Introduction to Generative AI Studio
Google Cloud Tech
How to use Github Actions with Google's Workload Identity Federation
Google Cloud Tech
Introduction to Responsible AI
Google Cloud Tech
Networking updates and CDMC-certified architecture
Google Cloud Tech
Create and use a Cloud Storage bucket
Google Cloud Tech
How to digitize text from documents
Google Cloud Tech
Faster analytical queries with AlloyDB
Google Cloud Tech
Next ‘23 sessions and FaaS Wave
Google Cloud Tech
Introduction to Assured Open Source Software
Google Cloud Tech
BigQuery Cost Optimization: Storage
Google Cloud Tech
BigQuery Cost Optimization: Compute
Google Cloud Tech
BigQuery Cost Optimization: Select Queries
Google Cloud Tech
Remote Field Equipment Management with Manufacturing Data Engine
Google Cloud Tech
Supercharging your applications with Cloud SQL Enterprise Plus
Google Cloud Tech
Vector Support on our radar #GenAI
Google Cloud Tech
Architecting a blockchain startup with Google Cloud
Google Cloud Tech
Kubernetes and multitasking updates!
Google Cloud Tech
GKE: Using Kubernetes Events
Google Cloud Tech
How to configure firewall rules for Cloud Composer
Google Cloud Tech
Vertex AI Embeddings API + Matching Engine: Grounding LLMs made easy
Google Cloud Tech
Geospatial analytics on our radar #EarthEngine #BigQuery
Google Cloud Tech
Ensuring requests are set in Kubernetes
Google Cloud Tech
Cloud Next 2023, Google research program, and more!
Google Cloud Tech
How to migrate projects between organizations with Resource Manager
Google Cloud Tech
How to run #MySQL in Google Cloud
Google Cloud Tech
#GenerativeAI for enterprises and #Next2023
Google Cloud Tech
How Google Photos scales to store 4 trillion photos and videos
Google Cloud Tech
Google Cross-Cloud Interconnect (Demo 2)
Google Cloud Tech
GKE Cost Optimization Golden Signals: Introduction
Google Cloud Tech
GKE Cost Optimization Golden Signals: Workload Rightsizing
Google Cloud Tech
GKE Load Balancing: Overview
Google Cloud Tech
GKE Load Balancing: Best Practices
Google Cloud Tech
Disaster Recovery in GKE
Google Cloud Tech
How to configure IP masquerade agent in GKE Standard clusters
Google Cloud Tech
Enable and use GKE Control plane logs
Google Cloud Tech
Compliance in Australia with Assured Workloads
Google Cloud Tech
Creating budgets and budget alerts in Google Cloud #FinOps
Google Cloud Tech
Cloud SQL Enterprise Plus on our radar #mySQL
Google Cloud Tech
What's Next for Google Cloud?
Google Cloud Tech
How Loveholidays scaled with Contact Center AI
Google Cloud Tech
What is fleet team management in GKE?
Google Cloud Tech
Troubleshoot VPC Network Peering
Google Cloud Tech
Introduction to DocAI and Contact Center AI
Google Cloud Tech
Cloud Run Direct VPC egress explained
Google Cloud Tech
Database deployment options in GKE
Google Cloud Tech
Analyze cloud billing data with #BigQuery
Google Cloud Tech
Tips to becoming a world-class Prompt Engineer
Google Cloud Tech
Serverless is simple. Do I need CI/CD?
Google Cloud Tech
Accelerating model deployment with MLOps
Google Cloud Tech
How Hawaii's Department of Human Services scaled with CCAI
Google Cloud Tech
Pricing API on our #Radar
Google Cloud Tech
How Recommendations AI for Media can boost customer retention
Google Cloud Tech
Troubleshooting: Node Not Ready Status
Google Cloud Tech
One weekend until Cloud Next 2023!
Google Cloud Tech
#GoogleCloudNext starts tomorrow!
Google Cloud Tech
#GoogleCloudNext will be demand!
Google Cloud Tech
More on: RAG Basics
View skill →Related Reads
📰
📰
📰
📰
What Is RAG AI? Retrieval-Augmented Generation Explained — American Dream AI
Medium · AI
Treat Retrieved Content as Data, Not Instructions
Dev.to AI
How to Evaluate Production RAG: Keyword, Vector, SQL, and Hybrid Retrieval
Dev.to · Anya Summers
RAG Database Design: SQL, Full-Text Search, Vector Search, and Context Retrieval
Dev.to · puffball1567
🎓
Tutor Explanation
DeepCamp AI