Why a practice-level page exists
Trademark notice
Where we go deeper
End-to-end RAG programmes
Pilot scope, integrations, and handover—see RAG implementation for delivery detail.
Framework & ingestion paths
Structured retrieval and connectors—see LlamaIndex consulting.
Data plane & hybrid search
Postgres AI backends and OpenSearch where hybrid search belongs—see dedicated agency pages.
How we keep programmes coherent
Practice patterns—not isolated demos
Evaluation before scale
Ground-truth sets and regression paths before widening scope.
Metadata and IAM early
Tenant and role boundaries that citations can enforce.
Operations included
Observability and feedback loops—or explicit handover.
Routing quick reference
Tool-specific question
Use the RAG implementation, LlamaIndex, Postgres AI backend, or OpenSearch agency pages directly.
Full RAG & retrieval thread
Start here—the practice umbrella—then narrow scope in discovery.
Broader self-hosted platform remit
When retrieval is only part of a larger owned-AI programme, see open-source AI infrastructure as the org-level entry.
FAQ
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Is this a fixed stack?
No—scope follows your constraints; this page explains how the pieces fit.
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Replace architecture consulting?
No—it orients delivery; architecture remains bespoke.
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Experimental tooling?
Evaluation-first where maturity is unclear; no implied uptime guarantees.
Discuss RAG & retrieval delivery
Honest scoping across evaluation, data paths, and operations.
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