AI & Machine Learning

RAG System Development

Make your data queryable with natural language

We design and implement production RAG systems with hybrid search, re-ranking, and observability so teams get cited answers from their own documents.

Typical timeline: 4-10 weeks

What You Get

Data ingestion pipeline
Vector database setup
Hybrid retrieval implementation
Re-ranking and relevance tuning
Evaluation framework

Our Process

1

Discovery

2

Architecture

3

Build

4

Deploy & Support