RAG & LLM Integration

Retrieval systems your users can actually trust

We build hybrid retrieval and LLM pipelines that answer from your data with citations — fast, accurate, and cheap enough to run at scale.

93%+ relevance accuracy achieved in production68% query latency reduction on a live system35% inference cost reduction through routing & cachingCitations and evals built in, hallucinations designed out

What you get

Data & retrieval audit

We inventory your structured and unstructured data and design the chunking, indexing, and hybrid search strategy to match.

Retrieval pipeline

Vector + keyword hybrid search with reranking, tuned on a golden set built from your real queries.

LLM orchestration

Model routing, prompt architecture, caching, and cost controls — the difference between a demo and a system you can afford to run.

Quality harness

Automated relevance and faithfulness evals so every index update and prompt change is measured, not guessed.

How it works

01

Audit

Data inventory, query analysis, and a golden evaluation set from real usage.

02

Pipeline

Hybrid retrieval with reranking, benchmarked against the golden set.

03

Integrate

API or in-product integration with citations, streaming, and access control.

04

Optimize

Latency and cost tuning: caching, routing, index compression.

Tools we reach for

QdrantPostgreSQLCohere RerankFastAPIRedisClaudeGPT-4.1Azure AD

Questions founders actually ask

Our data is a mess — spreadsheets, PDFs, a legacy database. Can you work with that?

That's the normal starting point. The Klebbix system we built unified structured database records and unstructured documents behind one retrieval layer. Cleaning and structuring the data pipeline is part of the work, not a prerequisite.

How do you prevent hallucinations?

Retrieval-grounded prompting with mandatory citations, faithfulness evals on every release, and refusal behavior when retrieval confidence is low. We measure hallucination rate — we don't just claim it's low.

Can this run in our cloud for compliance?

Yes. We deploy into your AWS/Azure/GCP account, support SSO integration, and can use your private model endpoints where required.

Ready to ship your AI product? Let's scope it together.

Book a free scoping call. You'll leave with a concrete plan, a realistic budget, and a working-prototype offer — whether you build with us or not.