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Real-time AI
Model
Config
Params,
Features
Vector Store
Object store
AI-powered
Apps
Telemetry
MLOps Pipelines
Training
Data
Output
Goal
Partners Tech Talks are webinars where subject matter experts from a Partner talk about a
specific use case or project. The goal of Tech Talks is to provide best practices and
applications insights, along with inspiration, and help you stay up to date about innovations
in confluent ecosystem.
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The Confluent Q3 ’24 Launch
Making stream processing a developer’s best friend 💙🖤
STREAM
CONNECT GOVERN
Expanding our Connect with
Confluent (CwC) Partner Program
Access and configure fully managed data streams
from directly within 50+ popular data systems.
5 new integrations added in Q3 2024
!
HTTP Source & Sink Connectors v2
Two of our most popular fully managed source and
sink connectors just got even better!
Client-Side Field Level Encryption
Hey compliance teams - we don’t see your
sensitive data. Encrypt your most sensitive data
before it gets to Confluent Cloud.
PROCESS
Bringing Serverless Flink to the Tools
and Formats Developers Love
Flexible schema management- Use your own
schema formats, don’t convert stuff.
Table API (Open Preview)- Build Flink apps and
functions your way with Java, Python.
AI Model Inference (Open Preview)- Query your
AI models with Flink SQL.
More and More Private Networking
Expanding to dedicated clusters on AWS.
Confluent OEM Partner Program
Enabling MSPs, CSPs, and ISVs worldwide to provide Confluent’s data streaming platform
Easier sizing with new broker and
client metrics
Need more partitions or capacity? Our Metrics API
now includes partition warnings, CKU count, and
cluster load. We also updated the UI to show
client metrics and versions.
Confluent welcomes WarpStream!
We’re taking data streaming in your own cloud to
the next level
Build with Confluent (BwC)
11 new partners added in Q3 2024
Q3’ 24 Partner Program Updates
OEM Partner Program Confluent Migration Accelerator
Introducing our OEM Partner
Program!
Enabling MSPs, CSPs, and ISVs worldwide to
provide Confluent’s data streaming platform
everywhere your business is run.
Expanding our Confluent
Migration Accelerator Program!
Ensures seamless transitions from Apache
Kafka or traditional systems to Confluent,
offering exclusive resources, tailored
support, and potential funding.
Build with Confluent (BwC)
Expanding our Build with
Confluent Program!
Customers can easily jumpstart new use
cases with SIs’ data streaming solutions with
specialized software bundles, expert support,
and access to Confluent’s GTM teams.
Connect with Confluent (CwC)
Expanding our Connect with Confluent (CwC) Partner Program!
Access and configure fully managed data streams from directly within 50+ popular data systems
5 new integrations added in Q3 2024!
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Confluent Perspective : AI
8
How Confluent Works: Data Augmentation
Prepare data for a real-time knowledge base and contextualization in LLM queries
Schema
Registry
Confluent Cloud
Consumer
Group
Confluent-certified
Sink Connector
or Native Integration
Confluent-certified
Sink Connector
or Native Integration
Operational Data Store
(Unstructured Data)
Vector Store
Versioned Data
Products in git
Embedding API Gateway
Embedding Model Instances
Vector Embedding
Service
Schema Specs
Terraform
Implement Retrieval Augmented
Generation (RAG) to enrich LLMs
models with real-time updates by
using AI models as first-class
resources in Apache Flink:
● Utilize AI models directly within
Flink queries
● Manage remotely hosted AI
models with SQL DDL statements.
● Invoke remote AI model endpoints
(e.g., OpenAI, AzureML, AWS
SageMaker)
Reference a remote model from customer endpoint
Model prediction
Integrate remote AI
models seamlessly
into your data
pipeline
Preview
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https://tinyurl.com/7cr9uzh5
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform.
Mia-Platform delivers on the promise of abstracting cloud native complexity at all levels
to empower the business-IT continuum.
Mia-Platform: The Most Comprehensive IDP On The Market
⬢ Founded in Milan in 2016
⬢ Opened in London at the end of 2021
⬢ Opened in Amsterdam in 2022
⬢ Successfully launched two startups
40+ Large Customers
35+ Network Partners
Representative Vendor in Researches and Hype Cycles for Self Service
IDP Portal & Platform), Digital Integration Hub and Composable Technologies
Assessing Backstage for Your Internal Developer Portal - August 29th, 2024, Gary Olliffe
Develop 3 Essential Practices for Data Management Operations - July 17th, 2024, Robert Thanaraj et al.
Adopt Platform Engineering to Improve the Developer Experience - July 2nd, 2024, Gary Olliffe
Hype Cycle for Platform Engineering - June 19th, 2024, Manjunath Bhat, Bill Blosen
Hype Cycle for Application Architecture and Integration - Refreshed on July 30th, 2024, Andrew Comes, Wei Jin
Hype Cycle for Revenues and Sales Technology - June 17th, 2024, Guy Wood, Adnan Zijadic, Melissa Hilbert, Guy Wood, Ilona Hansen
Hype Cycle for Cloud Platform Services - July 24th, 2024, Robert Thanaraj, Adam Ronthal, Keith Mann, Ramke Ramakrishnan
Hype Cycle for Digital Commerce - July 7th, 2024, Sandy Shen, Tigran Egiazarov, Irina Guseva, Mike Lowndes
10
Gartner
Mentions in
2024
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform
Turn your Business into a Platform Company
In an evolutionary market, successful enterprises operate like tech companies.
→ An Internal Developer
Platform to pave the way
for Platform Engineering.
→ A set of Governance
tools to tackle
Application Composability
→ A Digital Integration
Hub architecture to
industrialize Data Fabric.
Mia-Platform is the unique product on the market to drive, structure
and govern all tech aspects of the Platform Company:
DATA
ENGINEERS
SOFTWARE
ENGINEERS
PLATFORM
TEAM
CLOUD
OPERATIONS & SRE
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform.
15
Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider
DEVOPS PLATFORM
Git Pipelines Testing
Monitoring Tracing Secrets & Security
INFRASTRUCTURE PLATFORM
Execution environments: kubernetes, container managed services, functions, …
Application
Product Application
Product
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform.
16
Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider
PLATFORM
ORCHESTRATOR
INTERNAL
DEVELOPER PORTAL
CONSOLE IDP
CLI
DEVOPS PLATFORM
Git Pipelines Testing
Monitoring Tracing Secrets & Security
INFRASTRUCTURE PLATFORM
Execution environments: kubernetes, container managed services, functions, …
Internal Developer Platform
UI API AI
CLOUD
OPERATIONS
&
SRE
SOFTWARE
ENGINEERS
PLATFORM
TEAM
Application
Product Application
Product
Software Catalog
Scorecards
Dashboards
Health Metrics
Curated Templates
Documentation
AI Companion
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform.
17
Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider
PLATFORM
ORCHESTRATOR
INTERNAL
DEVELOPER PORTAL
CONSOLE IDP
CLI
DEVOPS PLATFORM
Git Pipelines Testing
Monitoring Tracing Secrets & Security
INFRASTRUCTURE PLATFORM
Execution environments: kubernetes, container managed services, functions, …
APPLICATION ACCESS & COMPOSABILITY
Internal Developer Platform + Composable
UI API AI
CLOUD
OPERATIONS
&
SRE
SOFTWARE
ENGINEERS
PLATFORM
TEAM
Flow Manager
Micro Frontend Composer MFE
API Gateway API Portal Marketplace RAG Application
Application
Product Application
Product
Software Catalog
Scorecards
Dashboards
Health Metrics
Curated Templates
Documentation
AI Companion
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform.
18
Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider
PLATFORM
ORCHESTRATOR
INTERNAL
DEVELOPER PORTAL
CONSOLE IDP
CLI
DEVOPS PLATFORM
Git Pipelines Testing
Monitoring Tracing Secrets & Security
INFRASTRUCTURE PLATFORM
Execution environments: kubernetes, container managed services, functions, …
APPLICATION ACCESS & COMPOSABILITY
DATA PLATFORM
Fast Data CRUD
Data Catalog
Data Control Plane
Internal Developer Platform + Composable + Data
UI API AI
CLOUD
OPERATIONS
&
SRE
SOFTWARE
ENGINEERS
DATA
ENGINEERS
PLATFORM
TEAM
Flow Manager
Micro Frontend Composer MFE
API Gateway API Portal Marketplace RAG Application
Application
Product Application
Product
Software Catalog
Scorecards
Dashboards
Health Metrics
Curated Templates
Documentation
AI Companion
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform.
Infrastructure as Code - laC tools
K8s Self-Hosted
VM  IaaS
Kubernetes - KaaS
Containers - CaaS
Application - aPaaS
Functions - fPaaS
LLM Models
Object Storage
NoSQL Data Streams
SQL SaaS
Source
Code
GitOps
Code Ship
Pipelines
Test &
Security
Manifest
Run Operate
IDE
Observe
Log/Trace
Artifactory
Repository
Secure
Business
Continuity
Connect
Auth&
Auth
Sustain.
Docs
Catalogs
Team
Third Party
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform.
Infrastructure as Code - laC tools
K8s Self-Hosted
VM  IaaS
Kubernetes - KaaS
Containers - CaaS
Application - aPaaS
Functions - fPaaS
LLM Models
Object Storage
NoSQL Data Streams
SQL SaaS
Source
Code
GitOps
Code Ship
Pipelines
Test &
Security
Manifest
Run Operate
IDE
Observe
Log/Trace
Artifactory
Repository
Secure
Business
Continuity
Connect
Auth&
Auth
Sustain.
Docs
Catalogs
Team
Internal Developer Portal API AI
Console - UI miactl - CLI
Compose Flow
Manager
Micro Frontend
Composer MFE
API
Gateway
RAG
Application
API
Portal
Fast
Data
CRUD
SQL/NoSQL
Data
Catalog
Application As Code - Mia-Platform Orchestrator & Manifests
Mia-Platform
Third Party
The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. 21
Mia-Platform for the Digital Integration Hub
Mainframe DBs Files MQ Cloud Applications
READ
AND
WRITE
IN
NEAR
REALTIME
Pluggable Connectors
Salesforce | PostgreSQL | Golden Gate CDC | OpenLegacy | …
INGEST
Message Broker
Reliable | Scalable | Debuggable
STREAM
Raw Data Projections
Consistent | Updated | Standard
CLEANSE & VALIDATE
API & Events
Interoperable | Available 24/7 | Secure
SECURE & EXPOSE
CONFIGURE & CONTROL
⬢ Microservices Creation
⬢ Low-Code Configuration
⬢ Multi-cloud Deployment
⬢ Data Governance & Security
⬢ Authentication & Authorization
⬢ Monitoring & Alarms
API Events Push Notifications
API sFTP CDC Messages DB Trigger Polling JDBC
SYSTEMS OF RECORD
Core Data
Internal Apps SaaS BI Tools
Low-Code
Partners
APPLICATIONS
Business Data Readers
AGGREGATE
Single Views
Unified | High-Performant | Business-ready
Mainframe DBs Files MQ Cloud Applications
Storage Bucket
Redundancy | Zero Latency | Analytics & ML
STORE
FAST
DATA
RUNTIME
How RAG Works with MongoDB?
RAG relies on
the ability to
search vectors
What is a vector?
A numerical representation of more
complex data, like a sentence, a
paragraph, or an image or a section of
a video.
0.3 0.6 0.8 0.4 0.2 …
This vector represents the image, allowing for developers
to build systems that can, for example, find similar
images
How Retrieval-Augmented Generation RAG) works
extremely simplified
schema
Similarities
Relevant
Docs
Question Embeddings
How much
is the
damage
from this
photo?
Context Embeddings
A lot of
previously
evaluated
damages
Prompt AI
Starting from
that relevant
docs.
How much is
the damage
from this
photo?
Answer
The
damage is
$367
Combine vectors and contextual, or
operational, data to easily build elegant
Retrieval-Augmented Generation architectures
in a single developer data platform.
Operational + Vector Database
Atlas
GenAI stack requirements:
Foundation model or LLM
Application / UX
Operational Database
App Framework / Orchestration
Vector Database
MongoDB Atlas enables you to get to production fast — and stay
ahead — by minimizing cost and complexity
Vector
Operational
Start fast and stay agile with documents that allow for easy
data modeling across multimodal data, including vectors
Simpler data modeling to start faster
Documents maps to how developers think and
code, making it easier to model relationships
between different data types, including vector
embeddings
Flexibility to evolve and stay ahead
Documents are inherently flexible and versatile for
storing richly structured multimodal data that
powers LLMs and foundation models
MongoDB Atlas
Document
Bolt-on Vector = complex data management
Relational = rigid schemas
Operational data
Vector data
Newly added data as app
requirements evolve
Achieve security, durability, availability and performance at
scale with multi-cloud flexibility for cloud-specific AI
tooling
Secure, available, scalable
Atlas provides mission critical security, fault tolerance,
and horizontal scaling, that satisfies even the most
demanding enterprises
Freedom to use preferred AI tech across clouds
Empower developers to use best-in-class, specialized
AI infrastructure regardless of the cloud provider
Atlas
Search node Secondary nodes Search node
Primary node
Google Vertex Amazon Bedrock Azure OpenAI
[0.3, 0.4, 0.2, 0.1…]
Vector
Build richer functionality with greater ease by easily
combining vector search with other types of queries
“Find me all images that are similar to the query
image and group them by photographer id”
“Find me content matching the user's query but only
content published in the last 3 months”
“Recommend restaurants that match my tastes but
only within 10 miles of my current location”
Combining with metadata for filtering
Combining with aggregations
Combining with geo-spatial search
How to create the RAG application from
scratch using Mia-Platform, Confluent and
MongoDB
Insurance
Systems
Customer
Application
FNOL System
Claims
Adjuster
Application
Insurer
Systems
CRM
Console - Internal Developer Platform
FNOLs
Policies
Customers
Claim Photos
and Evaluation
Claim Photos
Customer
Topics
Policies
Topics
FNOL
Topics
Adjuster
Topics
Claim
Customers
Topics
Embedding
Generator
Stream
Design and Runtime
Claim
Application
. Shot photo
. Ask for
evaluation
RAG
API
Gateway
Single
View
Reader
BFF
OpenAI /
Gemini /
Mistral
AI
Gateway
Fast Data
Vector
Store
Claim
Single
View
Collection
with
Images
Vectorize
Single View
Creator
Embeddings
Generator
Live Coding

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Compose Gen-AI Apps With Real-Time Data - In Minutes, Not Weeks

  • 1. @yourtwitterhandle | developer.confluent.io Starting soon… STARTING SOOOOON.. Starting sooooon ..
  • 2. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. Real-time AI Model Config Params, Features Vector Store Object store AI-powered Apps Telemetry MLOps Pipelines Training Data Output
  • 3. Goal Partners Tech Talks are webinars where subject matter experts from a Partner talk about a specific use case or project. The goal of Tech Talks is to provide best practices and applications insights, along with inspiration, and help you stay up to date about innovations in confluent ecosystem.
  • 4. @yourtwitterhandle | developer.confluent.io Starting soon… STARTING SOOOOON.. Starting sooooon ..
  • 5. The Confluent Q3 ’24 Launch Making stream processing a developer’s best friend 💙🖤 STREAM CONNECT GOVERN Expanding our Connect with Confluent (CwC) Partner Program Access and configure fully managed data streams from directly within 50+ popular data systems. 5 new integrations added in Q3 2024 ! HTTP Source & Sink Connectors v2 Two of our most popular fully managed source and sink connectors just got even better! Client-Side Field Level Encryption Hey compliance teams - we don’t see your sensitive data. Encrypt your most sensitive data before it gets to Confluent Cloud. PROCESS Bringing Serverless Flink to the Tools and Formats Developers Love Flexible schema management- Use your own schema formats, don’t convert stuff. Table API (Open Preview)- Build Flink apps and functions your way with Java, Python. AI Model Inference (Open Preview)- Query your AI models with Flink SQL. More and More Private Networking Expanding to dedicated clusters on AWS. Confluent OEM Partner Program Enabling MSPs, CSPs, and ISVs worldwide to provide Confluent’s data streaming platform Easier sizing with new broker and client metrics Need more partitions or capacity? Our Metrics API now includes partition warnings, CKU count, and cluster load. We also updated the UI to show client metrics and versions. Confluent welcomes WarpStream! We’re taking data streaming in your own cloud to the next level Build with Confluent (BwC) 11 new partners added in Q3 2024
  • 6. Q3’ 24 Partner Program Updates OEM Partner Program Confluent Migration Accelerator Introducing our OEM Partner Program! Enabling MSPs, CSPs, and ISVs worldwide to provide Confluent’s data streaming platform everywhere your business is run. Expanding our Confluent Migration Accelerator Program! Ensures seamless transitions from Apache Kafka or traditional systems to Confluent, offering exclusive resources, tailored support, and potential funding. Build with Confluent (BwC) Expanding our Build with Confluent Program! Customers can easily jumpstart new use cases with SIs’ data streaming solutions with specialized software bundles, expert support, and access to Confluent’s GTM teams. Connect with Confluent (CwC) Expanding our Connect with Confluent (CwC) Partner Program! Access and configure fully managed data streams from directly within 50+ popular data systems 5 new integrations added in Q3 2024!
  • 7. @yourtwitterhandle | developer.confluent.io Starting soon… STARTING SOOOOON.. Starting sooooon ..
  • 9. How Confluent Works: Data Augmentation Prepare data for a real-time knowledge base and contextualization in LLM queries Schema Registry Confluent Cloud Consumer Group Confluent-certified Sink Connector or Native Integration Confluent-certified Sink Connector or Native Integration Operational Data Store (Unstructured Data) Vector Store Versioned Data Products in git Embedding API Gateway Embedding Model Instances Vector Embedding Service Schema Specs Terraform
  • 10. Implement Retrieval Augmented Generation (RAG) to enrich LLMs models with real-time updates by using AI models as first-class resources in Apache Flink: ● Utilize AI models directly within Flink queries ● Manage remotely hosted AI models with SQL DDL statements. ● Invoke remote AI model endpoints (e.g., OpenAI, AzureML, AWS SageMaker) Reference a remote model from customer endpoint Model prediction Integrate remote AI models seamlessly into your data pipeline Preview
  • 11. @yourtwitterhandle | developer.confluent.io Starting soon… STARTING SOOOOON.. Starting sooooon ..
  • 13. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. Mia-Platform delivers on the promise of abstracting cloud native complexity at all levels to empower the business-IT continuum. Mia-Platform: The Most Comprehensive IDP On The Market ⬢ Founded in Milan in 2016 ⬢ Opened in London at the end of 2021 ⬢ Opened in Amsterdam in 2022 ⬢ Successfully launched two startups 40+ Large Customers 35+ Network Partners Representative Vendor in Researches and Hype Cycles for Self Service IDP Portal & Platform), Digital Integration Hub and Composable Technologies Assessing Backstage for Your Internal Developer Portal - August 29th, 2024, Gary Olliffe Develop 3 Essential Practices for Data Management Operations - July 17th, 2024, Robert Thanaraj et al. Adopt Platform Engineering to Improve the Developer Experience - July 2nd, 2024, Gary Olliffe Hype Cycle for Platform Engineering - June 19th, 2024, Manjunath Bhat, Bill Blosen Hype Cycle for Application Architecture and Integration - Refreshed on July 30th, 2024, Andrew Comes, Wei Jin Hype Cycle for Revenues and Sales Technology - June 17th, 2024, Guy Wood, Adnan Zijadic, Melissa Hilbert, Guy Wood, Ilona Hansen Hype Cycle for Cloud Platform Services - July 24th, 2024, Robert Thanaraj, Adam Ronthal, Keith Mann, Ramke Ramakrishnan Hype Cycle for Digital Commerce - July 7th, 2024, Sandy Shen, Tigran Egiazarov, Irina Guseva, Mike Lowndes 10 Gartner Mentions in 2024
  • 14. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform Turn your Business into a Platform Company In an evolutionary market, successful enterprises operate like tech companies. → An Internal Developer Platform to pave the way for Platform Engineering. → A set of Governance tools to tackle Application Composability → A Digital Integration Hub architecture to industrialize Data Fabric. Mia-Platform is the unique product on the market to drive, structure and govern all tech aspects of the Platform Company: DATA ENGINEERS SOFTWARE ENGINEERS PLATFORM TEAM CLOUD OPERATIONS & SRE
  • 15. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. 15 Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider DEVOPS PLATFORM Git Pipelines Testing Monitoring Tracing Secrets & Security INFRASTRUCTURE PLATFORM Execution environments: kubernetes, container managed services, functions, … Application Product Application Product
  • 16. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. 16 Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider PLATFORM ORCHESTRATOR INTERNAL DEVELOPER PORTAL CONSOLE IDP CLI DEVOPS PLATFORM Git Pipelines Testing Monitoring Tracing Secrets & Security INFRASTRUCTURE PLATFORM Execution environments: kubernetes, container managed services, functions, … Internal Developer Platform UI API AI CLOUD OPERATIONS & SRE SOFTWARE ENGINEERS PLATFORM TEAM Application Product Application Product Software Catalog Scorecards Dashboards Health Metrics Curated Templates Documentation AI Companion
  • 17. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. 17 Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider PLATFORM ORCHESTRATOR INTERNAL DEVELOPER PORTAL CONSOLE IDP CLI DEVOPS PLATFORM Git Pipelines Testing Monitoring Tracing Secrets & Security INFRASTRUCTURE PLATFORM Execution environments: kubernetes, container managed services, functions, … APPLICATION ACCESS & COMPOSABILITY Internal Developer Platform + Composable UI API AI CLOUD OPERATIONS & SRE SOFTWARE ENGINEERS PLATFORM TEAM Flow Manager Micro Frontend Composer MFE API Gateway API Portal Marketplace RAG Application Application Product Application Product Software Catalog Scorecards Dashboards Health Metrics Curated Templates Documentation AI Companion
  • 18. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. 18 Infrastructure, Complex Systems, External SaaS, Cloud Services, AI Provider PLATFORM ORCHESTRATOR INTERNAL DEVELOPER PORTAL CONSOLE IDP CLI DEVOPS PLATFORM Git Pipelines Testing Monitoring Tracing Secrets & Security INFRASTRUCTURE PLATFORM Execution environments: kubernetes, container managed services, functions, … APPLICATION ACCESS & COMPOSABILITY DATA PLATFORM Fast Data CRUD Data Catalog Data Control Plane Internal Developer Platform + Composable + Data UI API AI CLOUD OPERATIONS & SRE SOFTWARE ENGINEERS DATA ENGINEERS PLATFORM TEAM Flow Manager Micro Frontend Composer MFE API Gateway API Portal Marketplace RAG Application Application Product Application Product Software Catalog Scorecards Dashboards Health Metrics Curated Templates Documentation AI Companion
  • 19. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. Infrastructure as Code - laC tools K8s Self-Hosted VM  IaaS Kubernetes - KaaS Containers - CaaS Application - aPaaS Functions - fPaaS LLM Models Object Storage NoSQL Data Streams SQL SaaS Source Code GitOps Code Ship Pipelines Test & Security Manifest Run Operate IDE Observe Log/Trace Artifactory Repository Secure Business Continuity Connect Auth& Auth Sustain. Docs Catalogs Team Third Party
  • 20. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. Infrastructure as Code - laC tools K8s Self-Hosted VM  IaaS Kubernetes - KaaS Containers - CaaS Application - aPaaS Functions - fPaaS LLM Models Object Storage NoSQL Data Streams SQL SaaS Source Code GitOps Code Ship Pipelines Test & Security Manifest Run Operate IDE Observe Log/Trace Artifactory Repository Secure Business Continuity Connect Auth& Auth Sustain. Docs Catalogs Team Internal Developer Portal API AI Console - UI miactl - CLI Compose Flow Manager Micro Frontend Composer MFE API Gateway RAG Application API Portal Fast Data CRUD SQL/NoSQL Data Catalog Application As Code - Mia-Platform Orchestrator & Manifests Mia-Platform Third Party
  • 21. The information included in this document is strictly confidential. Any use must be approved by Mia-Platform. 21 Mia-Platform for the Digital Integration Hub Mainframe DBs Files MQ Cloud Applications READ AND WRITE IN NEAR REALTIME Pluggable Connectors Salesforce | PostgreSQL | Golden Gate CDC | OpenLegacy | … INGEST Message Broker Reliable | Scalable | Debuggable STREAM Raw Data Projections Consistent | Updated | Standard CLEANSE & VALIDATE API & Events Interoperable | Available 24/7 | Secure SECURE & EXPOSE CONFIGURE & CONTROL ⬢ Microservices Creation ⬢ Low-Code Configuration ⬢ Multi-cloud Deployment ⬢ Data Governance & Security ⬢ Authentication & Authorization ⬢ Monitoring & Alarms API Events Push Notifications API sFTP CDC Messages DB Trigger Polling JDBC SYSTEMS OF RECORD Core Data Internal Apps SaaS BI Tools Low-Code Partners APPLICATIONS Business Data Readers AGGREGATE Single Views Unified | High-Performant | Business-ready Mainframe DBs Files MQ Cloud Applications Storage Bucket Redundancy | Zero Latency | Analytics & ML STORE FAST DATA RUNTIME
  • 22. How RAG Works with MongoDB?
  • 23. RAG relies on the ability to search vectors What is a vector? A numerical representation of more complex data, like a sentence, a paragraph, or an image or a section of a video. 0.3 0.6 0.8 0.4 0.2 … This vector represents the image, allowing for developers to build systems that can, for example, find similar images
  • 24. How Retrieval-Augmented Generation RAG) works extremely simplified schema Similarities Relevant Docs Question Embeddings How much is the damage from this photo? Context Embeddings A lot of previously evaluated damages Prompt AI Starting from that relevant docs. How much is the damage from this photo? Answer The damage is $367
  • 25. Combine vectors and contextual, or operational, data to easily build elegant Retrieval-Augmented Generation architectures in a single developer data platform. Operational + Vector Database Atlas GenAI stack requirements: Foundation model or LLM Application / UX Operational Database App Framework / Orchestration Vector Database MongoDB Atlas enables you to get to production fast — and stay ahead — by minimizing cost and complexity
  • 26. Vector Operational Start fast and stay agile with documents that allow for easy data modeling across multimodal data, including vectors Simpler data modeling to start faster Documents maps to how developers think and code, making it easier to model relationships between different data types, including vector embeddings Flexibility to evolve and stay ahead Documents are inherently flexible and versatile for storing richly structured multimodal data that powers LLMs and foundation models MongoDB Atlas Document Bolt-on Vector = complex data management Relational = rigid schemas Operational data Vector data Newly added data as app requirements evolve
  • 27. Achieve security, durability, availability and performance at scale with multi-cloud flexibility for cloud-specific AI tooling Secure, available, scalable Atlas provides mission critical security, fault tolerance, and horizontal scaling, that satisfies even the most demanding enterprises Freedom to use preferred AI tech across clouds Empower developers to use best-in-class, specialized AI infrastructure regardless of the cloud provider Atlas Search node Secondary nodes Search node Primary node Google Vertex Amazon Bedrock Azure OpenAI
  • 28. [0.3, 0.4, 0.2, 0.1…] Vector Build richer functionality with greater ease by easily combining vector search with other types of queries “Find me all images that are similar to the query image and group them by photographer id” “Find me content matching the user's query but only content published in the last 3 months” “Recommend restaurants that match my tastes but only within 10 miles of my current location” Combining with metadata for filtering Combining with aggregations Combining with geo-spatial search
  • 29. How to create the RAG application from scratch using Mia-Platform, Confluent and MongoDB
  • 30. Insurance Systems Customer Application FNOL System Claims Adjuster Application Insurer Systems CRM Console - Internal Developer Platform FNOLs Policies Customers Claim Photos and Evaluation Claim Photos Customer Topics Policies Topics FNOL Topics Adjuster Topics Claim Customers Topics Embedding Generator Stream Design and Runtime Claim Application . Shot photo . Ask for evaluation RAG API Gateway Single View Reader BFF OpenAI / Gemini / Mistral AI Gateway Fast Data Vector Store Claim Single View Collection with Images Vectorize Single View Creator Embeddings Generator