LLM & RAG

LLM Integration & RAG

Production-grade LLM and RAG systems — document ingestion, embeddings, vector storage, hybrid search and guardrails.

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What's included

Everything you need, engineered in-house.

📥

Document ingestion

Ingest PDFs, documents and databases with automated indexing.

🧮

Embedding strategy

The right embedding models, tuned to your domain and data.

🗄️

Vector storage

Scalable vector databases with fast, secure similarity search.

🔍

Hybrid search

Combine keyword and semantic search with re-ranking for relevance.

🛡️

Guardrails

Safe, controlled model behaviour with validation and fallbacks.

🎯

Evaluation

Measure quality with real test sets and catch regressions early.

How we work

A clear path from idea to launch.

01

Discovery

We scope goals, risks and budget upfront — with a written plan before any code.

02

Design

UX and UI prototypes, validated with you before we build.

03

Build

Senior engineers ship in clear milestones with CI/CD and testing.

04

Scale

We monitor, improve and grow the product with you after launch.

Ready to build LLM Integration & RAG?

Tell us what you're trying to build. We'll come back with a clear, honest plan.

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