Open-source RAG & retrieval with explicit scope

One engagement model across measurable retrieval, data modelling, and hybrid search operations—aligned to how your organisation owns evidence and access control.

Why a practice-level page exists

RAG implementation, LlamaIndex, Postgres/pgvector, and OpenSearch answer different questions. This page is the umbrella for programmes that span evaluation, ingestion, and production retrieval—before narrowing to a single product page.

Trademark notice

Named products and brands are used for technical orientation and remain property of their respective owners. Mention does not imply endorsement, partnership, or availability guarantees for experimental software.

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

  • Is this a fixed stack?

    No—scope follows your constraints; this page explains how the pieces fit.

  • Replace architecture consulting?

    No—it orients delivery; architecture remains bespoke.

  • Experimental tooling?

    Evaluation-first where maturity is unclear; no implied uptime guarantees.

Discuss RAG & retrieval delivery

Honest scoping across evaluation, data paths, and operations.

Contact form

Send us a short message and we usually reply within one business day.

Christian Wörle

Your contact person

Christian Wörle

Technical Lead

contact@devolute.org