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Hi Uzay,

Interesting use case  following this thread.

I also came across the knowledge-connector-app project while looking into similar scenarios. From my understanding, it seems more focused on external knowledge ingestion/connector patterns rather than exposing the generative answer capability through a public API, but it may still provide some useful reference architecture ideas for anyone building a custom orchestration layer around Knowledge Fabric.

Hi Phaneendra,

thank you for showing this up. The connector you mentioned does indeed not cover my use case but will help definitely in other scenarios.

Let's see if anyone else will come up with some thoughts for generative answer part I asked.

Hi Uzay,

From what I have seen so far, your understanding is correct: today Genesys Knowledge / Knowledge Fabric does not publicly expose the same generative-answer capability that Copilot/Knowledge Assist internally leverage.

The currently available APIs are primarily focused on:

• knowledge search

• article retrieval

• snippets/documents

• search suggestions

But not a true:
"submit arbitrary text → receive generated contextual answer"

style API endpoint.

So for the exact use case you described:

Inbound Email → send email body → generate contextual answer from SharePoint-indexed knowledge → automatically respond

I do not believe there is currently a native/public Knowledge Fabric API that fully delivers that workflow end-to-end inside Architect/Data Actions alone.

Architect can absolutely orchestrate the process, but the actual generative layer usually requires an external orchestration/RAG service today.

What I have seen working well architecturally is:

Genesys Inbound Email Flow
→ Data Action
→ External AI/RAG service
→ Retrieval against enterprise knowledge
→ LLM-generated response
→ Return generated content back to Architect
→ Automated email response

In many implementations, SharePoint itself still remains the source of truth, while the external AI layer handles:

• embeddings/vector search

• retrieval orchestration

• prompt construction

• hallucination control

• answer generation

• citation handling

• confidence scoring

One important distinction:
Knowledge Fabric indexing and Copilot experiences are optimized primarily for human-assist and conversational experiences inside the Genesys ecosystem, not necessarily as a fully open generative AI platform API.

That is why many enterprise customers currently end up implementing a hybrid model where:

Genesys handles orchestration/routing/channel lifecycle
while
external AI services handle advanced RAG/generative workloads.

Operationally, this also gives you much more flexibility around:

• model selection

• governance

• observability

• response validation

• token/cost control

• security boundaries

• multilingual processing

• prompt engineering

Another important consideration for automated email generation:
I would strongly recommend implementing confidence thresholds and human fallback paths before fully automating outbound responses, especially for regulated environments. Email has a much higher operational/legal persistence compared to chat or messaging.

So in summary:
I do not believe the native generative-answer API you are looking for is publicly exposed today, and for production-grade implementations an external RAG/LLM orchestration layer is currently the more realistic and scalable approach.