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What
right tool stack
do I use based on the requirements to build an
ecosystem of services?
How easily can I implement
newer technologies
without a lot of rework?
How do I
integrate
with my
knowledge stores
and build a data pipeline for GenAI?
How can I enable a
modular and composable architecture
for my GenAI assets?
What best strategies can I use to
prepare the data
for
optimal LLM response
?
How do I ensure my design choices will
scale for the enterprise
?
Where can I access
knowledge repositories
around
reference architectures
and
best practices
of GenAI?
Where can I access
prototype implementations
of
latest breakthroughs
in GenAI?
How do I build and run GenAI use cases in a
cost-effective
manner guided by
best practices
and tried and tested methods?
What
minimal skillset
should my team develop to build GenAI use cases?
How can I
easily
build components to test concepts, validate results, deploy at a small scale and eventually
scale for enterprise
?
How do I ensure there are strict
Data Security
and
Privacy
measures in my GenAI implementations?
How easily can I
embed
my existing applications, platforms with
GenAI capabilities
?
Where can I access demos and prototypes of
successful implementations
of GenAI use cases in a central hub?
How do I speed up the
review
and
approval
of GenAI implementations based on the underlying architectural components used?
How do I ensure that
standardized frameworks
for GenAI are followed for every implementation across the organization?
How do I ensure there are strict
Data Security
and
Privacy
measures in place for
sensitive information
throughout the data pipeline?
How can I
seamlessly audit
GenAI implementations
at scale
across the org. for data security, privacy and
responsible AI
?
Where can I access
knowledge repositories
around
reference architectures
and
best practices
of GenAI?
How can I access
demos
and
prototypes
of successful implementations of GenAI use cases?
Data Pre-Processing
Source
Sync
DocParser
Splitter
Data
Services
Indexing
(Embedder +
Vector Storage)
Embedder
Preprocess +
Splitter +
Indexing
Inference
Layout Model
UDOP
Preprocess
Data Layer
Storage and Retriever – UI & Application Dev
LLM Service
Orchestrator +
Retrieval + LLM
Retrieval Service
Store Vector
Retriever
GenAI Ops
Golden Data
Generator
Evaluation Metric
Framework
Metric Evaluator
Reference
Arch GenAI
Ops
Evaluation
Pipeline
Deployment and Testing
Engineering
services + UI
Automation +
Platform Console
Automation
User Interface
Data Pre-Processing
Engineering
Infrastructure Services
(Open AI, Azure, etc.)
External System Integration
(Connectors, APIs etc.)
Storage and
Vectorization
UI and Application
Development
GenAI Ops - Prompt
Engineering
Deployment and Testing
Security and Data
Governance
CI/CD Pipelines
Evaluation
Data Pre-Processing
Source
Sync
DocParser
Splitter
Data
Services
Indexing
(Embedder +
Vector Storage)
Embedder
Preprocess +
Splitter +
Indexing
Inference
Layout Model
UDOP
Preprocess
Data Layer
Storage and Retriever – UI & Application Dev
LLM Service
Orchestrator +
Retrieval + LLM
Retrieval Service
Store Vector
Retriever
GenAI Ops
Golden Data
Generator
Evaluation Metric
Framework
Metric Evaluator
Reference
Arch GenAI
Ops
Evaluation
Pipeline
Deployment and Testing
Engineering
services + UI
Automation +
Platform Console
Automation
User Interface
Data Pre-Processing
Engineering
Infrastructure Services
(Open AI, Azure, etc.)
External System Integration
(Connectors, APIs etc.)
Storage and
Vectorization
UI and Application
Development
GenAI Ops - Prompt
Engineering
Deployment and Testing
Security and Data
Governance
CI/CD Pipelines
Evaluation
New use-case deployment lifecycle
without
GenAI TechHub
New use-case deployment lifecycle
with
GenAI TechHub
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