RAG Pipelines

RETRIEVAL THAT
ACTUALLY RETRIEVES.

Answers grounded in your truth.

We design retrieval systems that surface the right chunk from millions of documents — with re-ranking, hybrid search, and evals you can trust.

RETRIEVAL THAT icon
01What You Get

Outcomes, not output.

Hybrid Search

Vector + keyword + metadata filters for precision at scale.

Smart Re-Ranking

Cross-encoder re-rankers that promote relevance over similarity.

Chunking Strategy

Layout-aware splitting tuned per document type — not one-size-fits-all.

Eval Harness

Continuous quality measurement so regressions never reach prod.

02How We Build It

A repeatable path
from idea to production.

01

Ingest

Connect to your sources: docs, wikis, PDFs, databases, APIs.

02

Embed

Pick embedding model and chunking strategy from real evals.

03

Retrieve

Hybrid search + re-ranking tuned to your domain queries.

04

Ground

Compose prompts with citations and structured outputs.

03Tech Stack

Tools we reach for.

Battle-tested across production deployments. We pick what fits the problem — never the other way around.

pgvectorPineconeQdrantWeaviateCohere RerankLlamaIndexUnstructuredRagas
04Use Cases

Where it shines.

Internal knowledge bases

Turn scattered wikis and PDFs into an answer engine your team actually uses.

Customer support

Deflect tickets with answers grounded in your real docs — not hallucinations.

Compliance & legal

Search across contracts and policies with citations and audit trails.

05FAQ

Questions we get a lot.

Still wondering?

We answer every inquiry within 6 hours on average. Send the weirdest question — we like those.

Talk to us
▲ READY WHEN YOU ARE

TELL US WHAT
TO SHIP.

One short message gets a real plan back, usually within 6 hours. No decks. No "let's hop on a call to scope a call."

↳ Avg response time: 6 hours

Doraemon pointing — ready to build