Services Overview/AI Engineering
AI Engineering

RAG & Enterprise Knowledge AI

Turn Your Business Knowledge Into an Intelligent AI System

Your policies, manuals, contracts, reports, SOPs, and internal documents already contain valuable knowledge. We connect that information to AI through secure retrieval and context so teams can ask questions and receive useful, source-aware answers without hunting through folders.

RAG & Enterprise Knowledge AI mascot

Empower your AI system with the business knowledge that makes your business unique.

— JBAS AI Engineering Team, JB Arrowstar Solutions

Overview

Transform Your Business Knowledge into an Intelligent AI System – JBAS

It’s in your policies, manuals, contracts, and reports, and it contains the information that everyone in the company has been looking for. We make sure the business knowledge is connected to the AI system, so anyone can pose any query and receive an instant response.

No more browsing through folders or contacting the one person in the office who knows where the answers might be found.

Where This Fits

Our Services

An end-to-end retrieval augmented system that integrates all of your company’s documents and data with AI, thereby ensuring that the output from the system remains rooted in practical business knowledge.

A safe and fully private AI Assistant that is trained only on your own data and can be accessed by your people only, without any information being divulged externally.

Searches through your files for answers like a human would, and outputs the answer itself instead of a list of files.

These are conversational assistants integrated within tools that your employees currently use on a day-to-day basis and provide answers without the need to leave the platform.

This means searching according to the meaning and intention of the question asked and delivering the right result regardless of the fact that the question asked may not exactly match your documents.

This is an integrated assistant which uses reasoning across documents, databases, and applications at once instead of performing searches on separate systems.

Capabilities

Core Capabilities

Your knowledge isn't siloed in one location, so the system is designed to access all of it:

Documents & PDFs

guidelines, policies, contract documents, and reports

Websites

public or private websites accessed by your team on a regular basis

Databases

structured knowledge bases containing answers to operational questions

Enterprise Applications

applications that you currently use on a daily basis

Knowledge Bases

wikis, SOPs, or other help centres

Cloud Storage

files residing in Drive, SharePoint, or any other similar storage space

How It Works

How It Actually Works

Retrieval augmented generation is not a mysterious black box; it is a well-thought-out pathway from question to answer.

01

You pose a question

clearly in natural language, without having to use any specific search keywords.

02

Secure retrieval finds information from your sources

searching through documents, databases, cloud, and applications to find relevant pieces of content.

03

The most relevant pieces of content are selected

filtered based on your authorization level, so only relevant and authorized content appears.

04

Your question is answered using AI

basing its answer on the retrieved information, not anything else on the internet.

05

You get a response sourced from your documents

with a reference to the origin, enabling its easy verification.

Capabilities

The Technologies We Build Our System

Java (Backend Services)

Java powers the backend system underneath everything. It securely stores documents, permissions, and all interlinks between all your knowledge sources.

Python (Retrieval & AI Layer)

Python does all the AI-related work. It goes through your knowledge sources and interacts with the language model to formulate answers.

Spring Boot (API Framework)

Spring Boot is responsible for connecting everything via APIs. It guarantees secure transfer of requests and responses.

React (Frontend Interface)

React creates the user interface that your team is going to see and use. It delivers answers and sources in an easy and understandable way.

Docker & Kubernetes (Deployment)

Docker containerize our system to ensure it works the same everywhere. Kubernetes ensures its smooth work under increased load.

Frequently Asked Questions

Frequently Asked Questions

No — it only answers from your retrieved documents, and says so when it can't find a reliable source.
Yes, every answer can reference the specific document or source it was drawn from.
No — retrieval stays within your private system, and models are used only to generate grounded answers.
Yes, a single query can pull from documents, databases, and applications together in one answer.
That's normal. We help structure and prioritize your content as part of the build, not before it.
Let's Build Together

Ready to implement rag & enterprise knowledge ai?

Tell us a bit about what you need — our engineering team will get back to you to scope the project and next steps.