AI Solutions

Retrieval-Augmented Generation (RAG)

AI that knows your business inside out.

01What we do

We build RAG systems that let AI answer questions based on your own documents, knowledge base, and data — accurate, sourced, and grounded in your information rather than hallucinations.

02Solutions

What's included.

Document ingestion pipelines
Vector search systems
Knowledge base integration
Citation & sourcing
Multi-source retrieval
Real-time data RAG
03Our approach

How we work.

01

Ingest and process your documents

02

Build the vector search infrastructure

03

Design retrieval and generation pipeline

04

Test for accuracy and relevance

05

Deploy and optimize

04Technologies

Tools we use.

PgvectorOpenAILangChainSupabasePython

Retrieval-Augmented Generation (RAG) FAQ

PDFs, Word docs, web pages, databases, wikis, and more — we build pipelines for any text-based source.

✳

Have a project
in mind?

Let's talk about your retrieval-augmented generation (rag) needs. We'll help you scope it, plan it, and get it done.

Let's talk